Change Detection Benchmark Website,
2012
Dataset, Motion Detection.
WWW Link. Dataset for the 2012 Change Detection workshop at CVPR.
Turner, L.E.,
A System for the Automatic Recognition of Moving Patterns,
IT(12), April 1966, pp. 195-205.
BibRef
6604
King, W.J.[William J.],
Automatic pattern recognition apparatus,
US_Patent4,612,666, Sep 16, 1986
WWW Link.
BibRef
8609
Olesen, L.[Lykke],
Method and device for supervising the speed of an object,
US_Patent4,214,265, 07/22/1980.
HTML Version. Speed based on time to travel specific distance in image.
BibRef
8007
Evans, J.D.[James D.],
Pool, S.L.[Sam L.],
Apparatus and method for monitoring sports contests,
US_Patent4,183,056, Jan 8, 1980
WWW Link. Line monitoring.
BibRef
8001
Spoer, P.,
Displacement Estimation for Objects on Moving Background,
ISPDSA83(424-436).
BibRef
8300
Liou, S.P.[Shih-Ping], and
Jain, R.C.[Ramesh C.],
Motion Detection in Spatio-Temporal Space,
CVGIP(45), No. 2, February 1989, pp. 227-250.
Elsevier DOI
BibRef
8902
Earlier:
CVWS87(352-354).
Analysis of existing motion detectors.
BibRef
Liou, S.P.[Shih-Ping],
Model based motion estimation using constrained weighted least squares,
ICIP94(II: 810-814).
IEEE DOI
9411
BibRef
Strobach, P.,
Quadtree-Structured Linear Prediction Models for
Image Sequence Processing,
PAMI(11), No. 7, July 1989, pp. 742-748.
IEEE DOI
BibRef
8907
La Corte, A.,
Lombardo, A.,
Palazzo, S.,
Zinna, S.,
Modeling activity in VBR video sources,
SP:IC(3), No. 2-3, June 1991, pp. 167-178.
Elsevier DOI
0001
BibRef
Werkhoven, P.,
Snippe, H.P.,
Koenderink, J.J.,
Metrics for the Strength of Low-Level Motion Perception,
JVCIR(1), 1990, pp. 176-188.
BibRef
9000
Karmann, K.P.[Klaus-Peter],
von Brandt, A.[Achim],
Method for detecting and tracking moving objects in a digital
image sequence having a stationary background,
US_Patent5,034,986, 07/23/1991.
HTML Version.
BibRef
9107
von Brandt, A.[Achim],
Method for the determination of motion vector fields from
digital image sequences,
US_Patent4,924,310, 05/08/1990.
HTML Version.
BibRef
9005
Lee, J.C.,
Sheu, B.J.,
Choi, J., and
Chellappa, R.,
A Mixed-Signal VLSI Neuroprocessor for Image Restoration,
CirSysVideo(2), No. 3, September 1992, pp. 319-324.
IEEE Top Reference.
BibRef
9209
Lee, J.C.,
Sheu, B.J.,
Fang, W.C., and
Chellappa, R.,
VLSI Neuroprocessors for Video Motion Detection,
TNN(4), March 1993, pp. 178-191.
BibRef
9303
Ishii, H.[Hirofumi],
Morimura, A.[Atsushi],
Fluctuation stabilization image pickup device,
US_Patent5,053,875, Oct 1, 1991
WWW Link.
BibRef
9110
And:
Motion vector detector employing image subregions and median values,
US_Patent5,157,732, 10/20/1992
HTML Version.
BibRef
Earlier:
Image motion vector detecting apparatus,
US_Patent5,111,511, 05/05/1992.
HTML Version.
BibRef
Nakayama, M.[Mizuo],
Kuwajima, S.[Shigesumi],
Suzuki, T.[Takahito],
Miyake, K.[Kazushi],
Shibata, T.[Tsutomu],
Seki, C.[Chikashi],
Motion analyzing/advising system,
US_Patent5,111,410, May 5, 1992
WWW Link.
BibRef
9205
Watanabe, M.[Mutsumi],
Moving object detecting system,
US_Patent5,103,305, Apr 7, 1992
WWW Link.
BibRef
9204
Nouso, K.[Kazunori],
Image movement detecting apparatus,
US_Patent5,233,417, Aug 3, 1993
WWW Link.
BibRef
9308
Lee, W.P.[Wade P.],
Evans, S.T.[Scott T.],
Motion detector with improved signal discrimination,
US_Patent5,309,147, May 3, 1994
WWW Link.
BibRef
9405
Zhang, J.,
Motion Detectors and Motion Segregation,
SV(9), 1995, pp. 261-273.
BibRef
9500
Prokopowicz, P.N.,
Cooper, P.R.,
The Dynamic Retina: Contrast and Motion Detection for Active Vision,
IJCV(16), No. 3, November 1995, pp. 191-204.
Springer DOI
BibRef
9511
IJCV(16), No. 3, November 1995, pp. 191-204.
Springer DOI
BibRef
CVPR93(728-729).
IEEE DOI Detects image contrast using "undesirable" motion.
For an extension:
See also resonant retina: Exploiting vibration noise to optimally detect edges in an image, The.
BibRef
Prokopowicz, P.N.[Peter N.], and
Cooper, P.R.[Paul R.],
Integrating Visual Information across Camera Movements with a
Visual-Motor Calibration Map,
AAAI-96(1124-1132).
BibRef
9600
Blake, A.,
Hamid, G.,
Tarassenko, L.,
A Design for a Visual-Motion Transducer,
RA(11), No. 5, October 1995, pp. 625-633.
BibRef
9510
Earlier:
ICCV93(237-241).
IEEE DOI
0403
BibRef
Okamotoc, Y.[Yasukazu],
Method and apparatus for detecting changes in dynamic images,
US_Patent5,548,659, Aug 20, 1996
WWW Link.
BibRef
9608
Chen, W.G.[Wei-Ge],
Nandhakumar, N.,
Martin, W.N.,
Image Motion Estimation From Motion Smear: A New Computational Model,
PAMI(18), No. 4, April 1996, pp. 412-425.
IEEE DOI
9605
BibRef
Earlier:
Estimating image motion from smear: a sensor system and extensions,
ICIP95(I: 199-202).
IEEE DOI
9510
BibRef
Earlier:
Investigating a New Visual Cue for Image Motion Estimation:
'Motion-from-Smear',
ICIP94(III: 761-765).
IEEE DOI
9411
BibRef
Markandey, V.,
Reid, A.,
Wang, S.,
Motion Estimation for Moving Target Detection,
AeroSys(32), No. 3, July 1996, pp. 866-874.
9608
BibRef
Ehara, N.,
Sasase, I.,
Mori, S.,
Moving Target Detection by Quadrature Mirror Filter,
ECJ(79), No. 4, April 1996, pp. 55-62.
9605
BibRef
Torr, P.H.S.,
Murray, D.W.,
Statistical Detection of Independent Movement from a Moving Camera,
IVC(11), No. 4, May 1993, pp. 180-187.
Elsevier DOI
HTML Version.
BibRef
9305
Earlier:
BMVC92(79-88).
PDF File.
BibRef
Torr, P.H.S.,
Wong, T.,
Murray, D.W.,
Zisserman, A.,
Cooperating Motion Processes,
BMVC91(xx-yy).
PDF File.
9109
BibRef
Torr, P.H.S.,
Murray, D.W.,
Stochastic Motion Clustering,
ECCV94(B:328-337).
Springer DOI
BibRef
9400
Earlier:
Outlier Detection and Motion Segmentation,
SPIE(2059), 1993, pp. 432-443.
Segment independently moving objects using epipolar constraints.
BibRef
Torr, P.H.S.,
Motion Segmentation and Outlier Detection,
Ph.D.Thesis, 1995.
BibRef
9500
Oxford Univ.(Ouel 1987/93), 1995.
BibRef
Bello, M.G.,
A Random-Field Model-Based Algorithm for
Anomalous Complex Image Pixel Detection,
IP(1), No. 2, April 1992, pp. 186-196.
IEEE DOI
BibRef
9204
Ardizzone, E.,
Chella, A.,
Gaglio, S.,
Sorbello, F.,
Motion Analysis Using the Novelty Filter,
PRL(12), 1991, pp. 177-182.
BibRef
9100
Dinstein, I.,
A New Technique for Visual Motion Alarm,
PRL(8), 1988, pp. 347-351.
BibRef
8800
Wei, T.X.,
Dubuisson, B.,
Some Experiments on the Detection of Three-Dimensional Motion
of Rigid Objects in Blocks World,
PRL(4), 1986, pp. 453-464.
BibRef
8600
van de Walle, R.,
Lemahieu, I.,
Peynsaert, J.,
Dedeene, Y.,
Achten, E.,
Motion Detection from the Measured Signals in
Magnetic-Resonance-Imaging,
SP(55), No. 3, December 1996, pp. 375-379.
9703
BibRef
van de Walle, R.,
Lemahieu, I.,
Kerckaert, J.,
Achten, E.,
Detection of motion during projection reconstruction magnetic resonance
imaging,
ICIP96(III: 563-566).
IEEE DOI
9610
BibRef
Mester, R.[Rudolf],
Aach, T.[Til],
Method for change detection in moving images,
US_Patent5,654,772, Aug 5, 1997
WWW Link.
BibRef
9708
Choi, J.H.,
Jang, J.W.,
Lee, S.P.,
Kwak, H.S.,
Multiple Moving Object Estimation in Image Sequences of a Natural Scene,
OptEng(36), No. 8, August 1997, pp. 2176-2183.
9708
BibRef
Chong, M.N.,
Krishnan, D.,
An Edge-Preserving MRF Model for the Detection of
Missing Data in Image Sequences,
SPLetters(5), No. 4, April 1998, pp. 81-83.
IEEE Top Reference.
9804
BibRef
Krishnan, D.,
Chong, M.N.,
Kalra, S.,
On the Computational Aspects of Gibbs-Markov Random Field Modeling of
Missing-Data in Image Sequences,
IP(8), No. 8, August 1999, pp. 1139-1142.
IEEE DOI
BibRef
9908
Kalra, S.[Showbhik],
Krishnan, D.[Dilip],
Chong, M.N.,
A MRF Model Based Scheme for Accurate Detection and Adaptive
Interpolation of Missing Data in Highly Corrupted Image Sequences,
ICIP99(II:890-893).
IEEE DOI
BibRef
9900
Adkins, W.A.[William A.],
Pierce, J.H.[James H.],
Passive velocity measuring device,
US_Patent5,742,699, 04/21/1998.
HTML Version.
BibRef
9804
Matthews, K.E.,
Namazi, N.M.,
A Bayes Decision Test for Detecting Uncovered Background and
Moving Pixels in Image Sequences,
IP(7), No. 5, May 1998, pp. 720-728.
IEEE DOI
9805
Dept. of Electrical Engineering. The Catholic Univ. of America.
See also Simultaneous Motion Estimation and Filtering of Image Sequences.
BibRef
Mech, R.,
Wollborn, M.,
A Noise Robust Method for 2D Shape Estimation of Moving Objects
in Video Sequences Considering a Moving Camera,
SP(66), No. 2, April 1998, pp. 203-217.
9807
BibRef
Garrido, L.,
Salembier, P.,
Garcia, D.,
Extensive Operators in Partition Lattices for Image Sequence Analysis,
SP(66), No. 2, April 1998, pp. 157-180.
9807
BibRef
Caselles, V.,
Garrido, L.,
Igual, L.,
A Contrast Invariant Approach to Motion Estimation,
ScaleSpace05(242-253).
Springer DOI
0505
BibRef
Rowekamp, T.[Thomas], and
Peters, L.[Liliane],
A Compact Sensor for Visual Motion Detection,
Videre(1), No. 2, Winter 1998, pp. xx-yy.
Hardware implementation.
HTML Version.
PDF File.
BibRef
9800
Iliev, P.,
Tsekov, L.,
Motion detection using image histogram sequence analysis,
SP(30), No. 3, 1993, pp. 373-384.
BibRef
9300
Marzetta, T.L.,
Shepp, L.A.,
A Surprising Radon Transform Result and Its Application to Motion
Detection,
IP(8), No. 8, August 1999, pp. 1039-1049.
IEEE DOI
BibRef
9908
And:
A New Radon Transform Result,
ICIP97(I: 703-706).
IEEE DOI
BibRef
Zhang, L.[Lin],
Sakurai, T.[Tatsunari],
Miike, H.[Hidetoshi],
Detection of motion fields under spatio-temporal non-uniform
illumination,
IVC(17), No. 3/4, March 1999, pp. 309-320.
Elsevier DOI
BibRef
9903
Chaudhury, K.,
Mehrotra, R.,
Srinivasan, C.,
Detecting 3-D Motion Field from Range Image Sequences,
SMC-B(29), No. 2, April 1999, pp. 308.
IEEE Top Reference.
BibRef
9904
Cheung, J.F.Y.,
Wicks, M.C.,
Genello, G.J.,
Kurz, L.,
A Statistical Theory for Optimal Detection of Moving Objects in
Variable Corruptive Noise,
IP(8), No. 12, December 1999, pp. 1772-1787.
IEEE DOI
9912
BibRef
Deng, H.,
Himed, B.,
Wicks, M.C.,
Image Feature-Based Space-Time Processing for Ground Moving Target
Detection,
SPLetters(13), No. 4, April 2006, pp. 216-219.
IEEE DOI
0604
BibRef
Kawahara, K.[Kenji],
Image motion detection device,
US_Patent5,859,672, Jan 12, 1999
WWW Link.
BibRef
9901
Ahnn, J.M.[Jeong-Mo],
Half pixel motion estimator,
US_Patent5,936,672, Aug 10, 1999
WWW Link.
BibRef
9908
Cho, Y.H.[Yong-Hun],
Motion picture detecting method,
US_Patent5,959,681, Sep 28, 1999
WWW Link.
BibRef
9909
Koller, D.P.[David P.],
Preschutti, J.P.[Joseph P.],
Video motion detector with global insensitivity,
US_Patent6,130,707, Oct 10, 2000
WWW Link.
BibRef
0010
Kashiwazaki, T.[Takashi],
Image processing apparatus, image processing method, navigation
apparatus, program storage device and computer data signal embodied
in carrier wave,
US_Patent6,249,214, Jun 19, 2001
WWW Link.
BibRef
0106
Etienne-Cummings, R.[Ralph],
Biologically Inspired Visual Motion Detection in VLSI,
IJCV(44), No. 3, September-October 2001, pp. 175-198.
DOI Link
0111
BibRef
Orchard, G.,
Etienne-Cummings, R.[Ralph],
Bioinspired Visual Motion Estimation,
PIEEE(102), No. 10, October 2014, pp. 1520-1536.
IEEE DOI
1410
computer vision
BibRef
Orchard, G.,
Meyer, C.,
Etienne-Cummings, R.[Ralph],
Posch, C.,
Thakor, N.,
Benosman, R.,
HFirst: A Temporal Approach to Object Recognition,
PAMI(37), No. 10, October 2015, pp. 2028-2040.
IEEE DOI
1509
Computational modeling
biologically inspired asynchronous address event representation (AER)
vision sensors.
BibRef
Rechsteiner, M.[Martin],
Mahler, H.[Hansjurg],
Movement detector,
US_Patent6,246,321, Jun 12, 2001
WWW Link. Both visible and IR
BibRef
0106
Wu, Q.Z.[Quen-Zong],
Cheng, H.Y.[Hsu-Yung],
Jeng, B.S.[Bor-Shenn],
Motion detection via change-point detection for cumulative histograms
of ratio images,
PRL(26), No. 5, April 2005, pp. 555-563.
Elsevier DOI
0501
BibRef
de Vleeschouwer, C.,
Nilsson, T.,
Denolf, K.,
Bormans, J.,
Algorithmic and architectural co-design of a motion-estimation engine
for low-power video devices,
CirSysVideo(12), No. 12, December 2002, pp. 1093-1105.
IEEE Top Reference.
0301
BibRef
de Vleeschouwer, C.,
Nilsson, T.,
Motion Estimation for Low Power Video Devices,
ICIP01(II: 953-956).
IEEE DOI
0108
BibRef
Ren, Y.[Ying],
Chua, C.S.[Chin-Seng],
Ho, Y.K.[Yeong-Khing],
Motion detection with nonstationary background,
MVA(13), No. 5-6, 2003, pp. 332-343.
WWW Link.
0304
BibRef
Earlier:
CIAP01(78-83).
IEEE DOI
0210
BibRef
Hongler, M.O.[Max-Olivier],
de Meneses, Y.L.[Yuri L.],
Beyeler, A.[Antoine],
Jacot, J.[Jacques],
The resonant retina: Exploiting vibration noise to optimally detect
edges in an image,
PAMI(25), No. 9, September 2003, pp. 1051-1062.
IEEE Abstract.
0309
Edge Detection. Use the vibration induced jitter in the image.
See also Dynamic Retina: Contrast and Motion Detection for Active Vision, The.
BibRef
Bevilacqua, A.[Alessandro],
Optimizing parameters of a motion detection system by means of a
distributed genetic algorithm,
IVC(23), No. 9, 1 September 2005, pp. 815-829.
Elsevier DOI
0508
BibRef
Collobert, M.[Michael],
Method for determining movement of objects in a video image sequence,
US_Patent6,754,372, Jun 22, 2004
WWW Link.
BibRef
0406
Aoki, T.[Takahiro],
Nakayama, O.[Osafumi],
Shiohara, M.[Morito],
Murakami, Y.[Yoshishige],
Method and apparatus for detecting moving object,
US_Patent6,931,146, Aug 16, 2005
WWW Link.
BibRef
0508
Tsotsos, J.K.[John K.],
Liu, Y.J.[Yue-Ju],
Martinez-Trujillo, J.C.[Julio C.],
Pomplun, M.[Marc],
Simine, E.[Evgueni],
Zhou, K.H.[Kun-Hao],
Attending to visual motion,
CVIU(100), No. 1-2, October-November 2005, pp. 3-40.
Elsevier DOI
0510
BibRef
Tsotsos, J.K.,
Pomplun, M.,
Martinez-Trujillo, J.C.,
Zhou, K.H.[Kun-Hao],
Attending to visual motion: localizing and classifying affine motion
patterns,
CRV04(452-462).
IEEE DOI
0408
BibRef
Tsotsos, J.K.[John K.],
Pomplun, M.[Marc],
Liu, Y.J.[Yue-Ju],
Martinez-Trujillo, J.C.[Julio C.],
Simine, E.[Evgueni],
Attending to Motion: Localizing and Classifying Motion Patterns in
Image Sequences,
BMCV02(439 ff.).
Springer DOI
0303
BibRef
Cardoso, J.S.[Jaime S.],
Corte-Real, L.[Luis],
Accumulator size minimization for a fast cumulant-based motion
estimator,
CirSysVideo(15), No. 12, December 2005, pp. 1660-1664.
IEEE DOI
0601
BibRef
Cardoso, J.S.[Jaime S.],
Cardoso, J.C.S.[Jorge C. S.],
Corte-Real, L.[Luis],
Object-Based Spatial Segmentation of Video Guided by Depth and Motion
Information,
Motion07(7-7).
IEEE DOI
0702
BibRef
Veit, T.[Thomas],
Cao, F.[Frédéric],
Bouthemy, P.[Patrick],
An a contrario Decision Framework for Region-Based Motion Detection,
IJCV(68), No. 2, June 2006, pp. 163-178.
Springer DOI
0606
BibRef
Earlier:
An a contrario decision framework for motion detection,
INRIARR-5313, 2004.
HTML Version.
HTML Version.
BibRef
Earlier:
A Maximality Principle Applied to a Contrario Motion Detection,
ICIP05(I: 1061-1064).
IEEE DOI
0512
BibRef
Earlier:
Probabilistic parameter-free motion detection,
CVPR04(I: 715-721).
IEEE DOI
0408
Perceptual grouping based motion detection.
BibRef
Fablet, R.,
Bouthemy, P.,
Motion Recognition Using Spatio-temporal Random Walks in Sequence of 2D
Motion-related Measurements,
ICIP01(III: 652-655).
IEEE DOI
0108
BibRef
Burghouts, G.J.,
Geusebroek, J.M.,
Quasi-Periodic Spatiotemporal Filtering,
IP(15), No. 6, June 2006, pp. 1572-1582.
IEEE DOI
0606
BibRef
Ambellouis, S.,
Cabestaing, F.,
Postaire, J.G.,
Velocity Selective Filters Recursively Implemented in the
Spatiotemporal Domain,
IP(15), No. 6, June 2006, pp. 1601-1609.
IEEE DOI
0606
BibRef
Earlier:
Velocity selective spatio-temporal filters for motion analysis in image
sequence,
ICIP98(I: 231-235).
IEEE DOI
9810
BibRef
Bachalany, Y.[Yara],
Cabestaing, F.[Francois],
Vieren, C.[Christophe],
Ambellouis, S.[Sebastien],
An Altered Image Alignment Technique for 3D Motion Estimation of a
Reflective Sphere,
IPTA08(1-8).
IEEE DOI
0811
BibRef
Laird, E.T.[Edward T.],
Detecting objects by digital imaging device,
US_Patent7,154,531, Dec 26, 2006
WWW Link.
BibRef
0612
Ahn, J.H.[Jung-Hong],
Method of calculating sub-pixel movement and position tracking
sensor using the same,
US_Patent7,190,812, Mar 13, 2007
WWW Link.
BibRef
0703
Taylor, E.L.[Eric L.],
Seago, R.A.[Robert Alan],
High-speed search of recorded video information to detect motion,
US_Patent7,340,151, Mar 4, 2008
WWW Link.
BibRef
0803
Lee, S.,
Fast motion estimation based on search range adjustment and matching
point decimation,
IET-IPR(4), No. 1, February 2010, pp. 1-10.
DOI Link
1002
BibRef
Chetverikov, D.[Dmitry],
Axt, A.[Attila],
Approximation-free running SVD and its application to motion detection,
PRL(31), No. 9, 1 July 2010, pp. 891-897.
Elsevier DOI
1004
SVD, Video processing, Motion detection, Photometric invariants
BibRef
Rao, S.R.[Shankar R.],
Yang, A.Y.[Allen Y.],
Sastry, S.S.[S. Shankar],
Ma, Y.[Yi],
Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions
from Two Views,
IJCV(88), No. 3, July 2010, pp. xx-yy.
Springer DOI
1003
BibRef
Earlier: A2, A1, A4, Only:
Robust Statistical Estimation and Segmentation of Multiple Subspaces,
RANSAC06(99).
IEEE DOI
0609
BibRef
Rao, S.R.[Shankar R.],
Yang, A.Y.[Allen Y.],
Wagner, A.W.[Andrew W.],
Ma, Y.[Yi],
Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis,
ICCV05(I: 2-9).
IEEE DOI
0510
From tracked features, segment motions.
BibRef
Verdant, A.[Arnaud],
Villard, P.[Patrick],
Dupret, A.[Antoine],
Mathias, H.[Hervé],
Three Novell Analog-Domain Algorithms for Motion Detection in Video
Surveillance,
JIVP(2011), No. 2011, pp. xx-yy.
DOI Link
1103
Implementations.
BibRef
Verdant, A.[Arnaud],
Dupret, A.[Antoine],
Mathias, H.[Herve],
Villard, P.[Patrick],
Lacassagne, L.[Lionel],
Adaptive Multiresolution for Low Power CMOS Image Sensor,
ICIP07(V: 185-188).
IEEE DOI
0709
BibRef
Zaki, W.M.D.W.[Wan Mimi Diyana Wan],
Hussain, A.[Aini],
Hedayati, M.[Mohamed],
Moving object detection using keypoints reference model,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link
1203
BibRef
Martínez-Martín, E.[Ester],
del Pobil, Á.P.[Ángel P.],
Robust Motion Detection in Real-Life Scenarios,
Springer2012.
ISBN 978-1-4471-4215-7
Akram, M.[Muhammad],
Izquierdo, E.[Ebroul],
Fast motion estimation for surveillance video compression,
SIViP(7), No. 6, November 2013, pp. 1103-1112.
WWW Link.
1310
BibRef
Earlier:
Fast multiframe motion estimation for surveillance videos,
ICIP10(753-756).
IEEE DOI
1009
BibRef
Mota, V.F.,
Perez, E.A.,
Maciel, L.M.,
Vieira, M.B.,
Gosselin, P.H.,
A tensor motion descriptor based on histograms of gradients and
optical flow,
PRL(39), No. 1, 2014, pp. 85-91.
Elsevier DOI
1402
Global motion descriptor
BibRef
Caetano, F.A.[Felipe Andrade],
Vieira, M.B.[Marcelo Bernardes],
de Souza da Silva, R.L.[Rodrigo Luis],
A Video Descriptor Using Orientation Tensors and Shape-Based
Trajectory Clustering,
IJIG(16), No. 04, 2016, pp. 1650017.
DOI Link
1612
BibRef
Huang, S.C.[Shih-Chia],
Do, B.H.[Ben-Hsiang],
Radial Basis Function Based Neural Network for Motion Detection in
Dynamic Scenes,
Cyber(44), No. 1, January 2014, pp. 114-125.
IEEE DOI
1402
radial basis function networks
BibRef
Khare, M.[Manish],
Srivastava, R.K.[Rajneesh Kumar],
Khare, A.[Ashish],
Single change detection-based moving object segmentation by using
Daubechies complex wavelet transform,
IET-IPR(8), No. 6, June 2014, pp. 334-344.
DOI Link
1407
BibRef
Khare, M.[Manish],
Srivastava, R.K.[Rajneesh Kumar],
Khare, A.[Ashish],
Moving shadow detection and removal:
A wavelet transform based approach,
IET-CV(8), No. 6, 2014, pp. 701-717.
DOI Link
1502
computer vision
BibRef
Khare, M.[Manish],
Srivastava, R.K.[Rajneesh Kumar],
Khare, A.[Ashish],
Moving object segmentation in Daubechies complex wavelet domain,
SIViP(9), No. 3, March 2015, pp. 635-650.
WWW Link.
1503
BibRef
Khare, M.[Manish],
Srivastava, R.K.[Rajneesh Kumar],
Khare, A.[Ashish],
Jeon, M.[Moongu],
Curvelet transform based moving object segmentation,
ICIP13(4079-4083)
IEEE DOI
1402
Curvelet transform, Moving object segmentation, Single change detection
BibRef
Wang, Z.H.[Zhi-Hu],
Liao, K.[Kai],
Xiong, J.L.[Jiu-Long],
Zhang, Q.[Qi],
Moving Object Detection Based on Temporal Information,
SPLetters(21), No. 11, November 2014, pp. 1403-1407.
IEEE DOI
1408
feature extraction
BibRef
Shoemaker, P.A.,
Implementation of Visual Motion Detection in Analog 'Neuromorphic'
Circuitry: A Case Study of the Issue of Circuit Precision,
PIEEE(102), No. 10, October 2014, pp. 1557-1570.
IEEE DOI
1410
analogue circuits
BibRef
Xiao, H.X.[Hua-Xin],
Liu, Y.[Yu],
Wang, W.[Wei],
Zhang, M.J.[Mao-Jun],
Motion Detection Algorithm for Unmanned Aerial Vehicle Nighttime
Surveillance,
IEICE(E97-D), No. 12, December 2014, pp. 3248-3251.
WWW Link.
1503
See also Real-Time Cascaded Video Denoising Algorithm Using Intensity and Structure Tensor, A.
BibRef
Han, H.,
Zhu, J.,
Liao, S.,
Lei, Z.,
Li, S.Z.,
Moving Object Detection Revisited: Speed and Robustness,
CirSysVideo(25), No. 6, June 2015, pp. 910-921.
IEEE DOI
1506
Color
BibRef
Wan, X.[Xue],
Liu, J.G.[Jian-Guo],
Yan, H.S.[Hong-Shi],
The Illumination Robustness of Phase Correlation for Image Alignment,
GeoRS(53), No. 10, October 2015, pp. 5746-5759.
IEEE DOI
1509
BibRef
Earlier:
Phase Correlation based Local Illumination-invariant Method for
Multi-Tempro Remote Sensing Image Matching,
PCV14(365-372).
DOI Link
1404
image matching
BibRef
Yan, H.S.[Hong-Shi],
Liu, J.G.[Jian Guo],
Enhanced robust phase correlation based sub-pixel feature matching for
target motion estimation,
PCVIA10(B:76).
PDF File.
1009
BibRef
Earlier:
Robust Phase Correlation based Motion Estimation and Its Applications,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Paramkusam, A.V.[Adapa Venkata],
Reddy, V.S.K.,
The efficient optimal and suboptimal motion estimation algorithms,
SIViP(9), No. 6, September 2015, pp. 1265-1270.
WWW Link.
1509
BibRef
Paramkusam, A.V.[Adapa Venkata],
Reddy, V.S.K.[Vustikayala Siva Kumar],
Multilayer reference frame motion estimation for video coding,
SIViP(9), No. 8, November 2015, pp. 1851-1860.
WWW Link.
1511
BibRef
Paramkusam, A.V.[Adapa Venkata],
Reddy, V.S.K.[Vustikayala Siva Kumar],
An efficient multi-layer reference frame motion estimation for video
coding,
RealTimeIP(11), No. 4, April 2016, pp. 645-661.
Springer DOI
1604
BibRef
Lee, Y.G.[Yun-Gu],
Early search termination for fast motion estimation,
JIVP(2015), No. 1, 2015, pp. 29.
DOI Link
1509
BibRef
Kang, B.[Bin],
Zhu, W.P.[Wei-Ping],
Robust moving object detection using compressed sensing,
IET-IPR(9), No. 9, 2015, pp. 811-819.
DOI Link
1509
compressed sensing
BibRef
Sakaino, H.,
Motion Estimation for Dynamic Texture Videos Based on Locally and
Globally Varying Models,
IP(24), No. 11, November 2015, pp. 3609-3623.
IEEE DOI
1509
image sequences
BibRef
Sakaino, H.,
Video-Based Tracking, Learning, and Recognition Method for Multiple
Moving Objects,
CirSysVideo(23), No. 10, 2013, pp. 1661-1674.
IEEE DOI
1311
Monte Carlo methods
BibRef
Sakaino, H.,
Video Extrapolation Method Based on Time-Varying Energy Optimization
and CIP,
IP(25), No. 9, September 2016, pp. 4103-4115.
IEEE DOI
1609
extrapolation
BibRef
Sakaino, H.[Hidetomo],
Spatio-Temporal Feature Extraction/Recognition in Videos Based on
Energy Optimization,
IP(28), No. 7, July 2019, pp. 3395-3407.
IEEE DOI
1906
eigenvalues and eigenfunctions, feature extraction,
image classification, image motion analysis, image sequences,
recognition
BibRef
Aoyagi, Y.[Yuka],
Murata, N.[Noboru],
Sakaino, H.[Hidetomo],
Spatio-Temporal Predictive Network For Videos With Physical
Properties,
Precognition21(2268-2278)
IEEE DOI
2109
Deep learning, Training, Adaptation models, Radar, Predictive models,
Radar imaging, Image sequences
BibRef
Fan, Z.H.[Zhi-Hui],
Lu, Z.Y.[Zhao-Yang],
Li, J.[Jing],
Yao, C.[Chao],
Jiang, W.[Wei],
Robust Motion Detection Based on the Enhanced ViBe,
IEICE(E98-D), No. 9, September 2015, pp. 1724-1726.
WWW Link.
1509
BibRef
Shakeri, M.[Moein],
Zhang, H.[Hong],
COROLA: A sequential solution to moving object detection using
low-rank approximation,
CVIU(146), No. 1, 2016, pp. 27-39.
Elsevier DOI
1604
Moving object detection
BibRef
Ahrnbom, M.,
Jensen, M.B.,
Ĺström, K.,
Nilsson, M.,
Ardö, H.,
Moeslund, T.,
Improving a Real-Time Object Detector with Compact Temporal
Information,
CVRoads17(190-197)
IEEE DOI
1802
Detectors, Feature extraction, Neural networks, Object detection,
Real-time systems, Videos
BibRef
Shakeri, M.[Moein],
Zhang, H.[Hong],
Moving Object Detection Under Discontinuous Change in Illumination
Using Tensor Low-Rank and Invariant Sparse Decomposition,
CVPR19(7214-7223).
IEEE DOI
2002
BibRef
Earlier:
Moving Object Detection in Time-Lapse or Motion Trigger Image
Sequences Using Low-Rank and Invariant Sparse Decomposition,
ICCV17(5133-5141)
IEEE DOI
1802
decomposition, feature extraction, image motion analysis,
image representation, image sequences, matrix decomposition,
Sparse matrices
BibRef
Feichtenhofer, C.[Christoph],
Pinz, A.[Axel],
Wildes, R.P.[Richard P.],
Dynamic Scene Recognition with Complementary Spatiotemporal Features,
PAMI(38), No. 12, December 2016, pp. 2389-2401.
IEEE DOI
1609
BibRef
Earlier:
Bags of Spacetime Energies for Dynamic Scene Recognition,
CVPR14(2681-2688)
IEEE DOI
1409
BibRef
Earlier:
Spacetime Forests with Complementary Features for Dynamic Scene
Recognition,
BMVC13(xx-yy).
DOI Link
1402
Cameras.
feature extraction
BibRef
Feichtenhofer, C.[Christoph],
Pinz, A.[Axel],
Wildes, R.P.[Richard P.],
Temporal Residual Networks for Dynamic Scene Recognition,
CVPR17(7435-7444)
IEEE DOI
1711
Cameras, Databases, Dynamics, Image recognition, Kernel,
Spatiotemporal, phenomena
BibRef
Ilic, F.,
Pinz, A.,
Representing Objects in Video as Space-Time Volumes by Combining
Top-Down and Bottom-Up Processes,
WACV20(1903-1911)
IEEE DOI
2006
Electron tubes, Feature extraction, Smoothing methods, Tracking,
Detectors, Optical detectors, Visualization
BibRef
Feichtenhofer, C.[Christoph],
Pinz, A.[Axel],
Wildes, R.P.[Richard P.],
Spatiotemporal Multiplier Networks for Video Action Recognition,
CVPR17(7445-7454)
IEEE DOI
1711
Additives, Convolution, Kernel,
Pattern recognition, Spatiotemporal phenomena, Streaming, media
BibRef
Feichtenhofer, C.[Christoph],
Pinz, A.[Axel],
Zisserman, A.[Andrew],
Detect to Track and Track to Detect,
ICCV17(3057-3065)
IEEE DOI
1802
convolution, feature extraction, neural net architecture,
object detection, object tracking, regression analysis,
Target tracking
BibRef
Feichtenhofer, C.[Christoph],
Pinz, A.[Axel],
Spatio-temporal Good Features to Track,
AutoDrive13(246-253)
IEEE DOI
1403
distance measurement
BibRef
Fan, R.[Rui],
Zhang, Y.F.[Yong-Fei],
Li, B.[Bo],
Wang, G.[Gang],
Multidirectional parabolic prediction-based interpolation-free
sub-pixel motion estimation,
SP:IC(53), No. 1, 2017, pp. 123-134.
Elsevier DOI
1703
Error surface modeling
BibRef
Rengarajan, V.[Vijay],
Rajagopalan, A.N.,
Aravind, R.,
Seetharaman, G.[Guna],
Image Registration and Change Detection under Rolling Shutter Motion
Blur,
PAMI(39), No. 10, October 2017, pp. 1959-1972.
IEEE DOI
1709
Cameras, Distortion, Kernel, Sensor arrays, Solid modeling,
Rolling shutter, aerial imaging,
change detection, image registration, motion blur
BibRef
Rengarajan, V.[Vijay],
Punnappurath, A.[Abhijith],
Rajagopalan, A.N.,
Seetharaman, G.[Guna],
Efficient Change Detection for Very Large Motion Blurred Images,
Registration14(315-322)
IEEE DOI
1409
change detection, motion blur, very large images
BibRef
Wu, Y.,
Ye, Y.,
Zhao, C.,
Shi, Z.,
Collective Density Clustering for Coherent Motion Detection,
MultMed(20), No. 6, June 2018, pp. 1418-1431.
IEEE DOI
1805
Clustering algorithms, Estimation, Merging,
Motion detection, Motion segmentation, Shape,
coherent motion detection
BibRef
Hu, L.,
Zhang, J.,
Wang, X.,
Wang, S.,
Zhang, E.,
Decentralized Truncated One-Sided Sequential Detection of a
Noncooperative Moving Target,
SPLetters(25), No. 10, October 2018, pp. 1490-1494.
IEEE DOI
1810
maximum likelihood estimation, normal distribution,
sensor fusion, signal detection, statistical testing,
truncated one-sided sequential (TOS) test
BibRef
Chaabouni, S.[Souad],
Benois-Pineau, J.[Jenny],
Ben Amar, C.[Chokri],
ChaboNet: Design of a deep CNN for prediction of visual saliency in
natural video,
JVCIR(60), 2019, pp. 79-93.
Elsevier DOI
1903
Visual attention prediction in video,
Deep convolutional neural networks, Saliency map,
Dynamic content
BibRef
Arora, S.M.[Shaifali Madan],
Rajpal, N.[Navin],
Khanna, K.[Kavita],
A new approach with enhanced accuracy in zero motion prejudgment for
motion estimation in real-time applications,
RealTimeIP(16), No. 4, August 2019, pp. 989-1005.
Springer DOI
1908
Improve accuracy and speed of motion estimation.
BibRef
Yousefi, S.,
Manzuri Shalmani, M.T.,
Lin, J.,
Staring, M.,
A Novel Motion Detection Method Using 3D Discrete Wavelet Transform,
CirSysVideo(29), No. 12, December 2019, pp. 3487-3500.
IEEE DOI
1912
Motion detection, Feature extraction, Dynamics, Video sequences,
Discrete wavelet transforms, Motion detection, dynamic texture,
wavelet leader
BibRef
Gao, W.H.[Wei-Hua],
Niu, W.L.[Wen-Long],
Wang, P.C.[Peng-Cheng],
Li, Y.Z.[Yan-Zhao],
Ren, C.X.[Chun-Xu],
Peng, X.D.[Xiao-Dong],
Yang, Z.[Zhen],
Moving Point Target Detection Based on Temporal Transient Disturbance
Learning in Low SNR,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Fanani, N.[Nolang],
Ochs, M.[Matthias],
Mester, R.[Rudolf],
Detecting Parallel-Moving Objects in the Monocular Case Employing CNN
Depth Maps,
DeepLearn-G18(III:281-297).
Springer DOI
1905
BibRef
Saelao, W.[Wongsatorn],
Wangsiripitak, S.[Somkiat],
Pluempitiwiriyawej, C.[Charnchai],
Feature-based motion detection and tracking on approximate 3D ground
plane,
VCIP16(1-4)
IEEE DOI
1701
Cameras
BibRef
Gao, R.,
Tu, Q.,
Li, C.,
Zhao, M.,
Fu, G.,
Yang, B.,
Graph based spatiotemporal saliency detection incorporating low and
high level features,
VCIP15(1-4)
IEEE DOI
1605
Databases
BibRef
Liu, Y.[Yu],
Xiao, H.X.[Hua-Xin],
Zhang, Z.[Zheng],
Xu, W.[Wei],
Zhang, M.J.[Mao-Jun],
Zhang, J.G.[Jian-Guo],
Data Separation of L1-minimization for Real-time Motion Detection,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Puscas, M.M.[Mihai Marian],
Sangineto, E.[Enver],
Culibrk, D.[Dubravko],
Sebe, N.[Nicu],
Unsupervised Tube Extraction Using Transductive Learning and Dense
Trajectories,
ICCV15(1653-1661)
IEEE DOI
1602
Foreground object from videos. Object and motion.
BibRef
Rostamzadeh, N.[Negar],
Uijlings, J.[Jasper],
Mironica, I.[Ionuj],
Abadi, M.K.[Mojtaba Khomami],
Ionescu, B.[Bogdan],
Sebe, N.[Nicu],
Cluster encoding for modelling temporal variation in video,
ICIP15(3640-3644)
IEEE DOI
1512
modeling temporal variation in video
BibRef
Bellamine, I.,
Tairi, H.,
Motion detection using color structure-texture image decomposition,
ISCV15(1-8)
IEEE DOI
1506
computer vision
BibRef
Liang, P.P.[Peng-Peng],
Wu, Y.[Yi],
Mei, X.[Xue],
Yu, J.Y.[Jing-Yi],
Blasch, E.[Erik],
Prokhorov, D.[Danil],
Liao, C.Y.[Chun-Yuan],
Lang, H.T.[Hai-Tao],
Ling, H.B.[Hai-Bin],
Blur-Resilient Tracking Using Group Sparsity,
ACCV14(V: 131-145).
Springer DOI
1504
BibRef
Aspiras, T.H.[Theus H.],
Asari, V.K.[Vijayan K.],
Vasquez, J.[Juan],
Gaussian ringlet intensity distribution (GRID) features for
rotation-invariant object detection in wide area motion imagery,
ICIP14(2309-2313)
IEEE DOI
1502
Accuracy
BibRef
Khan, M.U.K.[Muhammad Umar Karim],
Khan, A.[Asim],
Kyung, C.M.[Chong-Min],
Dual frame rate motion detection for memory- and energy-constrained
surveillance systems,
AVSS14(81-86)
IEEE DOI
1411
Detectors
BibRef
Xu, Y.L.[Yi-Liang],
Basharat, A.[Arslan],
Becker, J.[Jacob],
Hoogs, A.[Anthony],
Complex algorithm optimization through probabilistic search of its
configuration tree,
AVSS14(216-222)
IEEE DOI
1411
Motion detection
BibRef
Gori, M.[Marco],
Lippi, M.[Marco],
Maggini, M.[Marco],
Melacci, S.[Stefano],
On-Line Video Motion Estimation by Invariant Receptive Inputs,
LTDT14(726-731)
IEEE DOI
1409
BibRef
Dai, W.[Wei],
Au, O.C.[Oscar C.],
Zhu, W.J.[Wen-Jing],
Hu, W.[Wei],
Wan, P.F.[Peng-Fei],
Li, J.L.[Jia-Li],
A robust interpolation-free approach for sub-pixel accuracy motion
estimation,
ICIP13(1767-1771)
IEEE DOI
1402
Sub-pixel motion estimation, interpolation-free, video coding
BibRef
Wang, C.X.[Chen-Xu],
Li, S.X.[Shu-Xiao],
Shen, Y.P.[Yi-Ping],
Song, Y.[Yi],
Chang, H.X.[Hong-Xing],
Evaluation of Feature Detectors and Descriptors for Motion Detection
from Aerial Videos,
ICPR14(2596-2601)
IEEE DOI
1412
Accuracy
BibRef
Shen, H.[Hao],
Li, S.X.[Shu-Xiao],
Zhang, J.L.[Jing-Lan],
Chang, H.X.[Hong-Xing],
Tracking-based moving object detection,
ICIP13(3093-3097)
IEEE DOI
1402
aerial video
BibRef
Ding, L.J.[Liang-Jing],
Barbu, A.[Adrian],
Meyer-Baese, A.[Anke],
Learning a Quality-Based Ranking for Feature Point Trajectories,
ACCV12(III:718-733).
Springer DOI
1304
BibRef
And:
Motion Segmentation by Velocity Clustering with Estimation of Subspace
Dimension,
DTCE12(II:491-505).
Springer DOI
1304
BibRef
Min, J.H.[Ji-Hong],
Kim, H.W.[Hyeong-Woo],
Choi, J.W.[Jong-Won],
Kweon, I.S.[In So],
A superpixel MRF approach using high-order likelihood for moving object
detection,
ICPR12(266-269).
WWW Link.
1302
BibRef
Sevilla-Lara, L.[Laura],
Learned-Miller, E.G.[Erik G.],
Distribution fields for tracking,
CVPR12(1910-1917).
IEEE DOI
1208
Allow smoothing, but keep detail
BibRef
Vesom, G.[Grace],
Pixel-wise motion detection in persistent aerial video surveillance,
CNWASA12(44-49).
IEEE DOI
1207
BibRef
Zhang, X.Y.[Xiao-Yong],
Abe, M.[Masahide],
Kawamata, M.[Masayuki],
Motion detection in old film sequences using adaptive Gaussian mixture
model,
ICIP11(2337-2340).
IEEE DOI
1201
BibRef
Nir, T.[Tal],
Eden, O.[Orit],
Video motion detection algorithm using probabilistic time integrated
RANSAC,
ICIP11(2349-2352).
IEEE DOI
1201
BibRef
Qi, W.Y.[Wen-Yuan],
Niu, X.F.[Xiao-Feng],
Yang, Y.Y.[Yong-Yi],
Total-variation regularized motion estimation in a periodic image
sequence,
ICIP11(2697-2700).
IEEE DOI
1201
BibRef
Farmer, M.E.,
A comparison of a chaos-theoretic method for pre-attentive vision with
traditional grayscale-based methods,
AVSBS11(337-342).
IEEE DOI
1111
Attention detection, or start of interesting action. Deal with
sudden illumination changes.
BibRef
Nawaz, M.W.[Muhammad Wasim],
Bouzerdoum, A.[Abdesselam],
Phung, S.L.[Son Lam],
Motion Estimation with Adaptive Regularization and Neighborhood
Dependent Constraint,
DICTA10(387-392).
IEEE DOI
1012
BibRef
Zhang, D.[Dong],
Li, P.[Ping],
Motion Detection for Rapidly Moving Cameras in Fully 3D Scenes,
PSIVT10(444-449).
IEEE DOI
1011
BibRef
Boltz, S.[Sylvain],
Nielsen, F.[Frank],
Randomized motion estimation,
ICIP10(781-784).
IEEE DOI
1009
BibRef
Azary, S.W.,
Anderson, P.G.,
Gaborski, R.S.,
Biologically inspired motion detection neural network models evolved
using genetic algorithms,
AIPR09(1-8).
IEEE DOI
0910
BibRef
Sayed, M.[Mohammed],
Badawy, W.[Wael],
Jullien, G.[Graham],
Low-complexity algorithm for fractional-pixel motion estimation,
ICIP09(1565-1568).
IEEE DOI
0911
BibRef
Sakaino, H.[Hidetomo],
Shen, Y.[Yang],
Pang, Y.[Yuanhang],
Ma, L.Z.[Li-Zhuang],
Falling snow motion estimation based on a semi-transparent and particle
trajectory model,
ICIP09(1609-1612).
IEEE DOI
0911
BibRef
Sharif, H.[Haidar],
Djeraba, C.[Chabane],
Exceptional motion frames detection by means of spatiotemporal region
of interest features,
ICIP09(981-984).
IEEE DOI
0911
BibRef
Pinto, B.,
Song, A.,
Detecting motion from noisy scenes using Genetic Programming,
IVCNZ09(322-327).
IEEE DOI
0911
BibRef
Szczerba, K.[Krzysztof],
Forchhammer, S.[Sřren],
Stottrup-Andersen, J.[Jesper],
Eybye, P.T.[Peder Tanderup],
Fast Compressed Domain Motion Detection in H.264 Video Streams for
Video Surveillance Applications,
AVSBS09(478-483).
IEEE DOI
0909
BibRef
Wietzke, L.[Lennart],
Sommer, G.[Gerald],
Nonlinear Motion Detection,
CAIP09(1122-1129).
Springer DOI
0909
BibRef
Derpanis, K.G.P.[Konstantinos G.P.],
Lecce, M.[Matthieu],
Daniilidis, K.[Kostas],
Wildes, R.P.[Richard P.],
Dynamic scene understanding: The role of orientation features in space
and time in scene classification,
CVPR12(1306-1313).
IEEE DOI
1208
BibRef
Derpanis, K.G.P.[Konstantinos G.P.],
Wildes, R.P.[Richard P.],
Dynamic texture recognition based on distributions of spacetime
oriented structure,
CVPR10(191-198).
IEEE DOI
1006
BibRef
And:
Detecting Spatiotemporal Structure Boundaries:
Beyond Motion Discontinuities,
ACCV09(II: 301-312).
Springer DOI
0909
BibRef
And:
Early spatiotemporal grouping with a distributed oriented energy
representation,
CVPR09(232-239).
IEEE DOI
0906
Group data into space-time regions.
BibRef
Utasi, A.[Akos],
Czuni, L.[Laszlo],
HMM-based unusual motion detection without tracking,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Kazui, M.[Masato],
Miyoshi, M.[Masanori],
Muramatsu, S.[Shoji],
Fujiyoshi, H.[Hironobu],
Incoherent motion detection using a time-series Gram matrix feature,
ICPR08(1-5).
IEEE DOI
0812
BibRef
Reilly, S.[Stephen],
Kurugollu, F.[Fatih],
Miller, P.[Paul],
Robust Motion Detection via the Fuzzy Fusion of 6D Feature Space
Decompositions,
AVSBS09(466-471).
IEEE DOI
0909
BibRef
Earlier:
Robust motion detection by fusion of 6D feature space decompositions,
ICIP08(225-228).
IEEE DOI
0810
BibRef
Castellanos-Sánchez, C.[Claudio],
Neuromimetic Indicators for Visual Perception of Motion,
BVAI07(134-143).
Springer DOI
0710
BibRef
Boluda, J.A.[Jose A.],
Pardo, F.[Fernando],
Speeding-Up Differential Motion Detection Algorithms Using a
Change-Driven Data Flow Processing Strategy,
CAIP07(77-84).
Springer DOI
0708
BibRef
Lee, K.Y.[Ki-Youn],
Park, R.H.[Rae-Hong],
Singular Value Decomposition-Based Illumination Compensation in Video,
ISVC06(I: 313-322).
Springer DOI
0611
BibRef
Ibrahim, M.M.[Mohammed M.],
Rao, S.[Supriya],
Motion Analysis in Compressed Video: An Hybrid Approach,
Motion07(17-17).
IEEE DOI
0702
Filter motion vectors and use compressed domain processing.
BibRef
Auvray, V.,
Bouthemy, P.,
Lienard, J.,
Motion Estimation in X-Ray Image Sequences with Bi-Distributed
Transparency,
ICIP06(1057-1060).
IEEE DOI
0610
BibRef
Earlier:
Multiresolution Parametric Estimation of Transparent Motions,
ICIP05(I: 141-144).
IEEE DOI
0512
BibRef
Aoki, K.[Kimiya],
Koshimizu, H.[Hiroyasu],
Detection of 3D-Flow by Characteristic of Convex-concave and Color,
ICPR06(I: 75-78).
IEEE DOI
0609
BibRef
Putthividhy, D.[Duangmanee],
Lee, T.W.[Te-Won],
Motion Patterns: High-Level Representation of Natural Video Sequences,
CVPR06(II: 1908-1915).
IEEE DOI
0606
BibRef
Zhou, S.H.K.[Shao-Hua Kevin],
Georgescu, B.[Bogdan],
Comaniciu, D.[Dorin],
Shao, J.[Jie],
BoostMotion:
Boosting a Discriminative Similarity Function for Motion Estimation,
CVPR06(II: 1761-1768).
IEEE DOI
0606
BibRef
Wu, G.[Gang],
Rahimi, A.[Amir],
Chang, E.Y.[Edward Y.],
Goh, K.[Kingshy],
Tsai, T.[Tomy],
Jain, A.[Ankur],
Wang, Y.F.[Yuan-Fang],
Identifying Color in Motion in Video Sensors,
CVPR06(I: 561-569).
IEEE DOI
0606
BibRef
Hu, Z.C.[Zhen-Cheng],
Uchimura, K.[Keiichi],
Wang, J.[Jia],
Moving Obstacles Extraction with Stereo Global Motion Model,
ICPR06(I: 79-83).
IEEE DOI
0609
BibRef
Wang, J.[Jia],
Hu, Z.C.[Zhen-Cheng],
Lu, H.Q.[Han-Qing],
Uchimura, K.[Keiichi],
Motion Detection in Driving Environment Using U-V-Disparity,
ACCV06(I:307-316).
Springer DOI
0601
BibRef
Su, C.Y.[Chorng-Yann],
Chang, C.T.[Cheng-Tao],
One-Point Hexagonal Inner Search for Fast Motion Estimation,
ISVC05(406-412).
Springer DOI
0512
BibRef
Su, C.Y.[Chorng-Yann],
Hsu, Y.P.[Yi-Pin],
Chang, C.T.[Cheng-Tao],
Efficient Hexagonal Inner Search for Fast Motion Estimation,
ICIP05(I: 1093-1096).
IEEE DOI
0512
BibRef
Wu, J.W.[Jun-Wen],
Trivedi, M.M.,
Performance Characterization for Gaussian Mixture Model Based Motion
Detection Algorithms,
ICIP05(I: 1097-1100).
IEEE DOI
0512
BibRef
Horn, J.,
Analysis of impulse train illuminated images for 2d velocity
measurement,
ICIP04(III: 1859-1862).
IEEE DOI
0505
BibRef
Demonceaux, C.[Cédric],
Kachi-Akkouche, D.[Djemâa],
Motion Detection Using Wavelet Analysis and Hierarchical Markov Models,
SCVMA04(64-75).
Springer DOI
0405
BibRef
Omer, O.J.[Om Ji],
Kumar, S.,
Bajpai, R.,
Venkatesh, K.S.,
Gupta, S.,
Motion Estimation from Motion Smear: A System Identification Approach,
ICIP04(III: 1855-1858).
IEEE DOI
0505
BibRef
Kellner, M.,
Hanning, T.,
Motion detection based on contour strings,
ICIP04(IV: 2599-2602).
IEEE DOI
0505
BibRef
Piumsa-Nga, P.,
Babaguchi, N.,
Motion estimation and detection of complex object by analyzing
resampled movements of parts,
ICIP04(I: 365-368).
IEEE DOI
0505
BibRef
Kent, B.,
Kokaram, A.,
Collis, B.,
Robinson, S.,
Two layer segmentation for handling pathological motion in degraded
post production media,
ICIP04(I: 299-302).
IEEE DOI
0505
BibRef
Miezianko, R.[Roland],
Pokrajac, D.[Dragoljub],
Texture Dissimilarity Measures for Background Change Detection,
ICIAR08(xx-yy).
Springer DOI
0806
BibRef
Latecki, L.J.[Longin Jan],
Miezianko, R.[Roland],
Pokrajac, D.[Dragoljub],
Motion Detection Based on Local Variation of Spatiotemporal Texture,
OTCBVS04(135).
WWW Link.
0502
BibRef
Ila, V.,
Garcia, R.,
Charot, F.,
Proposal of a parallel architecture for a motion detection algorithm,
ICPR04(I: 797-800).
IEEE DOI
0409
BibRef
Albiol, A.,
Sandoval, C.,
Naranjo, V.,
Mossi, J.M.,
Robust motion detector for video surveillance applications,
ICIP03(II: 379-382).
IEEE DOI
0312
BibRef
Piao, Y.[Ying],
Sato, J.[Jun],
Space-Time Invariants for 3D Motions from Projective Cameras,
ACCV06(II:811-821).
Springer DOI
0601
BibRef
Mizoguchi, M.,
Sato, J.,
Space-time invariants and video motion extraction from arbitrary
viewpoints,
ICPR02(IV: 56-59).
IEEE DOI
0211
BibRef
Hemmendorff, M.,
Andersson, M.T.,
Knutsson, H.,
Accurate Registration and Motion Estimation based on Canonical
Correlation,
SCIA01(P-W5).
0206
BibRef
Ellis, T.,
Xu, M.,
Object Detection and Tracking in an Open and Dynamic World,
PETS01(xx-yy).
0110
BibRef
Xu, M.,
Ellis, T.,
Illumination-Invariant Motion Detection Using Colour Mixture Models,
BMVC01(Poster Session 1).
HTML Version. City University
0110
BibRef
Florencio, D.A.F.,
Motion Sensitive Pre-processing for Video,
ICIP01(II: 399-402).
IEEE DOI
0108
BibRef
Latzel, M.,
Tsotsos, J.,
A Robust Motion Detection and Estimation Filter for Video Signals,
ICIP01(I: 381-384).
IEEE DOI
0108
BibRef
Aach, T.,
Duembgen, L.,
Mester, R.,
Toth, D.,
Bayesian Illumination-invariant Motion Detection,
ICIP01(III: 640-643).
IEEE DOI
0108
BibRef
Peker, K.A.,
Divakaran, A.,
Sun, H.F.,
Constant Pace Skimming and Temporal Sub-sampling of Video Using Motion
Activity,
ICIP01(III: 414-417).
IEEE DOI
0108
BibRef
Liang, Y.Q.[Yi-Qing],
Huang, J.R.J.[Jeffrey R.J.],
Multiple Motion Detection Using Genetic Algorithms,
DARPA98(1307-1312).
BibRef
9800
Barni, M.,
Bartolini, F.,
Cappellini, V.,
Lambardi, F.,
Integration of spatio-temporal information for motion detection by
means of fuzzy reasoning,
CIAP97(I: 446-453).
Springer DOI
9709
BibRef
Matsui, T.,
A New Mathematical Human Vision Model with an Autonomous Image Observing
Mechanism and Its Application to Multiple Motion Detection,
ICPR96(I: 723-727).
IEEE DOI
9608
(ATR Human Inf. Process., J)
BibRef
Maravall, D.,
Sanandrés, J.A.,
Baumela, L.,
Mobile detection based on histogram difference,
CAIP95(286-293).
Springer DOI
9509
BibRef
Meier, W.,
von Stein, H.D.,
Estimation of object and sensor motion in infrared image sequences,
ICIP94(I: 568-572).
IEEE DOI
9411
BibRef
Skrzypkowiak, S.S.,
Jain, V.K.,
Affine motion estimation using a neural network,
ICIP95(I: 418-421).
IEEE DOI
9510
BibRef
Sethi, I.K.,
Chung, Y.K.,
Detecting Relative Motion In Moving Point Patterns,
ICPR92(I:696-699).
IEEE DOI
BibRef
9200
Shvaytser, H.,
Detecting Motion in Out-of-Register Pictures,
CVPR88(696-701).
IEEE DOI
BibRef
8800
Zeevi, Y.Y.,
Fagni, H.,
Some aspects of motion perception,
SMC-C80(421-423).
BibRef
8000
Ginsburg, A.P.,
Visual perception based on biological filtering of spatial information,
SMC-C80(424-428).
BibRef
8000
Pinter, R.B.[Robert B.],
On the visual discrimination between small objects and
large textured patterns,
SMC-C80(429-433).
BibRef
8000
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Detection of Moving Objects from Image Sequences or Video .