19.3.3 Motion Detection, Analysis of Motion Detectors

Chapter Contents (Back)
Motion, Detection. Motion Detection. Motion Segmentation. Sequences.
See also Event Models, Action Models, Motion Detection for Events, Backgrounds.

Change Detection Benchmark Website,
2012 Dataset, Motion Detection.
WWW Link. Dataset for the 2012 Change Detection workshop at CVPR.

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Earlier: CVWS87(352-354). Analysis of existing motion detectors. BibRef

Liou, S.P.[Shih-Ping],
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IEEE DOI 9411
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von Brandt, A.[Achim],
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Lee, J.C., Sheu, B.J., Fang, W.C., and Chellappa, R.,
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Ishii, H.[Hirofumi], Morimura, A.[Atsushi],
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And:
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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.,
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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.,
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RA(11), No. 5, October 1995, pp. 625-633. BibRef 9510
Earlier: ICCV93(237-241).
IEEE DOI 0403
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Okamotoc, Y.[Yasukazu],
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US_Patent5,548,659, Aug 20, 1996
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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
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Ehara, N., Sasase, I., Mori, S.,
Moving Target Detection by Quadrature Mirror Filter,
ECJ(79), No. 4, April 1996, pp. 55-62. 9605
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Torr, P.H.S., Murray, D.W.,
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IVC(11), No. 4, May 1993, pp. 180-187.
Elsevier DOI
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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
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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
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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
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Mester, R.[Rudolf], Aach, T.[Til],
Method for change detection in moving images,
US_Patent5,654,772, Aug 5, 1997
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Choi, J.H., Jang, J.W., Lee, S.P., Kwak, H.S.,
Multiple Moving Object Estimation in Image Sequences of a Natural Scene,
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Chong, M.N., Krishnan, D.,
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SPLetters(5), No. 4, April 1998, pp. 81-83.
IEEE Top Reference. 9804
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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.
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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).
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Adkins, W.A.[William A.], Pierce, J.H.[James H.],
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US_Patent5,742,699, 04/21/1998.
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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
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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.,
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Cheung, J.F.Y., Wicks, M.C., Genello, G.J., Kurz, L.,
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IP(8), No. 12, December 1999, pp. 1772-1787.
IEEE DOI 9912
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Deng, H., Himed, B., Wicks, M.C.,
Image Feature-Based Space-Time Processing for Ground Moving Target Detection,
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IEEE DOI 0604
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Kawahara, K.[Kenji],
Image motion detection device,
US_Patent5,859,672, Jan 12, 1999
WWW Link. BibRef 9901

Ahnn, J.M.[Jeong-Mo],
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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
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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
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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
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de Vleeschouwer, C., Nilsson, T.,
Motion Estimation for Low Power Video Devices,
ICIP01(II: 953-956).
IEEE DOI 0108
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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
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Earlier: CIAP01(78-83).
IEEE DOI 0210
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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
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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],
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US_Patent6,931,146, Aug 16, 2005
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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
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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
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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
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Cardoso, J.S.[Jaime S.], Corte-Real, L.[Luis],
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CirSysVideo(15), No. 12, December 2005, pp. 1660-1664.
IEEE DOI 0601
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Cardoso, J.S.[Jaime S.], Cardoso, J.C.S.[Jorge C. S.], Corte-Real, L.[Luis],
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Motion07(7-7).
IEEE DOI 0702
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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
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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
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Burghouts, G.J., Geusebroek, J.M.,
Quasi-Periodic Spatiotemporal Filtering,
IP(15), No. 6, June 2006, pp. 1572-1582.
IEEE DOI 0606
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Ambellouis, S., Cabestaing, F., Postaire, J.G.,
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IP(15), No. 6, June 2006, pp. 1601-1609.
IEEE DOI 0606
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Earlier:
Velocity selective spatio-temporal filters for motion analysis in image sequence,
ICIP98(I: 231-235).
IEEE DOI 9810
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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).
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Laird, E.T.[Edward T.],
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Rao, S.R.[Shankar R.], Yang, A.Y.[Allen Y.], Sastry, S.S.[S. Shankar], Ma, Y.[Yi],
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IJCV(88), No. 3, July 2010, pp. xx-yy.
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Earlier: A2, A1, A4, Only:
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Verdant, A.[Arnaud], Villard, P.[Patrick], Dupret, A.[Antoine], Mathias, H.[Hervé],
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Zaki, W.M.D.W.[Wan Mimi Diyana Wan], Hussain, A.[Aini], Hedayati, M.[Mohamed],
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Martínez-Martín, E.[Ester], del Pobil, Á.P.[Ángel P.],
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Akram, M.[Muhammad], Izquierdo, E.[Ebroul],
Fast motion estimation for surveillance video compression,
SIViP(7), No. 6, November 2013, pp. 1103-1112.
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Earlier:
Fast multiframe motion estimation for surveillance videos,
ICIP10(753-756).
IEEE DOI 1009
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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,
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Elsevier DOI 1402
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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,
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Huang, S.C.[Shih-Chia], Do, B.H.[Ben-Hsiang],
Radial Basis Function Based Neural Network for Motion Detection in Dynamic Scenes,
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Khare, M.[Manish], Srivastava, R.K.[Rajneesh Kumar], Khare, A.[Ashish],
Single change detection-based moving object segmentation by using Daubechies complex wavelet transform,
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Khare, M.[Manish], Srivastava, R.K.[Rajneesh Kumar], Khare, A.[Ashish],
Moving shadow detection and removal: A wavelet transform based approach,
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Khare, M.[Manish], Srivastava, R.K.[Rajneesh Kumar], Khare, A.[Ashish],
Moving object segmentation in Daubechies complex wavelet domain,
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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.
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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,
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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
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Earlier:
Robust Phase Correlation based Motion Estimation and Its Applications,
BMVC08(xx-yy).
PDF File. 0809
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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
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Paramkusam, A.V.[Adapa Venkata], Reddy, V.S.K.[Vustikayala Siva Kumar],
Multilayer reference frame motion estimation for video coding,
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Springer DOI 1604
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JIVP(2015), No. 1, 2015, pp. 29.
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IET-IPR(9), No. 9, 2015, pp. 811-819.
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compressed sensing BibRef

Sakaino, H.,
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image sequences BibRef

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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

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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],
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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.,
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CVRoads17(190-197)
IEEE DOI 1802
Detectors, Feature extraction, Neural networks, Object detection, Real-time systems, Videos BibRef

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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

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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)
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Electron tubes, Feature extraction, Smoothing methods, Tracking, Detectors, Optical detectors, Visualization BibRef

Feichtenhofer, C.[Christoph], Pinz, A.[Axel], Wildes, R.P.[Richard P.],
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CVPR17(7445-7454)
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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,
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Cameras, Distortion, Kernel, Sensor arrays, Solid modeling, Rolling shutter, aerial imaging, change detection, image registration, motion blur BibRef

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Registration14(315-322)
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change detection, motion blur, very large images BibRef

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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.,
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maximum likelihood estimation, normal distribution, sensor fusion, signal detection, statistical testing, truncated one-sided sequential (TOS) test BibRef

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IEEE DOI 1912
Motion detection, Feature extraction, Dynamics, Video sequences, Discrete wavelet transforms, Motion detection, dynamic texture, wavelet leader BibRef

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Moving Point Target Detection Based on Temporal Transient Disturbance Learning in Low SNR,
RS(15), No. 10, 2023, pp. xx-yy.
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VCIP15(1-4)
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ICIP15(3640-3644)
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modeling temporal variation in video BibRef

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ISCV15(1-8)
IEEE DOI 1506
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ICIP13(1767-1771)
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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 .


Last update:Oct 22, 2024 at 22:09:59