17.1.3 Human Motion Understanding and Analysis

Rohr, K.,
Towards Model-Based Recognition of Human Movements in Image Sequences,
CVGIP(59), No. 1, January 1994, pp. 94-115.
DOI Link BibRef 9401
Earlier:
Incremental Recognition of Pedestrians from Image Sequences,
CVPR93(8-13).
IEEE DOI Extraction of the movement of articulated bodies. BibRef

Rohr, K.,
Recognition of Human Movements Based on Explicit Motion Models,
MBR97(Chapter 8) Germany. BibRef 9700

Chiu, C.Y.[Chih-Yi], Chao, S.P.[Shih-Pin], Wu, M.Y.[Ming-Yang], Yang, S.N.[Shi-Nine], Lin, H.C.[Hsin-Chih],
Content-based retrieval for human motion data,
JVCIR(15), No. 3, September 2004, pp. 446-466.
Elsevier DOI 0711
BibRef

Rahman, M.M.[M. Masudur], Ishikawa, S.[Seiji],
Human motion recognition using an eigenspace,
PRL(26), No. 6, 1 May 2005, pp. 687-697.
Elsevier DOI 0501
BibRef
Earlier:
Robust appearance-based human action recognition,
ICPR04(III: 165-168).
IEEE DOI 0409
BibRef
And:
Appearance-based representation and recognition of human motions,
CRA03(I: 1410-1415). BibRef

Eftakhar, S.M.A., Tan, J.K.[Joo Kooi], Kim, H.[Hyoungseop], Ishikawa, S.,
Recognizing human motions from surrounding viewpoints employing hierarchical eigenspaces,
ICARCV10(2179-2184).
IEEE DOI 1109
BibRef

Rahman, M.M.[M. Masudur], Nakamura, K., Ishikawa, S.[Seiji],
Recognizing human behavior using universal eigenspace,
ICPR02(I: 295-298).
IEEE DOI 0211
BibRef

Rahman, M.M.[M. Masudur], Robles-Kelly, A.[Antonio],
A Tuned Eigenspace Technique for Articulated Motion Recognition,
ECCV06(I: 174-185).
Springer DOI 0608
BibRef

Müller, M.[Meinard],
Information Retrieval for Music and Motion,
Springer2007, ISBN: 978-3-540-74047-6
WWW Link. Multimedia objects using audio and human motion data. BibRef 0700

Rosenhahn, B.[Bodo], Klette, R.[Reinhard], Metaxas, D.N.[Dimitris N.], (Eds.)
Human Motion Understanding, Modelling, Capture, and Animation,
Springer2008, ISBN: 978-1-4020-6692-4. Indexed as: BibRef 0800 HumMotBook08
WWW Link. Collection of papers on human motion. Papers filed elsewhere. BibRef

Jang, W.S.[Won-Seob], Lee, W.K.[Won-Kyu], Lee, I.K.[In-Kwon], Lee, J.H.[Je-Hee],
Enriching a motion database by analogous combination of partial human motions,
VC(24), No. 4, April 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Yang, J.Y.[Jhun-Ying], Wang, J.S.[Jeen-Shing], Chen, Y.P.[Yen-Ping],
Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers,
PRL(29), No. 16, 1 December 2008, pp. 2213-2220.
Elsevier DOI 0811
Acceleration data; Activity recognition; Feature subset selection; Feature extraction; Neural network; Triaxial accelerometer BibRef

Albanese, M.[Massimiliano], Chellappa, R.[Rama], Cuntoor, N.[Naresh], Moscato, V.[Vincenzo], Picariello, A.[Antonio], Subrahmanian, V.S., Udrea, O.[Octavian],
PADS: A Probabilistic Activity Detection Framework for Video Data,
PAMI(32), No. 12, December 2010, pp. 2246-2261.
IEEE DOI 1011
PADL a logic language to describe activities. Probability that subvideo contains that activity. Then detect activities. BibRef

Albanese, M., Chellappa, R., Moscato, V., Picariello, A., Subrahmanian, V.S., Turaga, P.K., Udrea, O.,
A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video,
MultMed(10), No. 6, October 2008, pp. 982-996.
IEEE DOI 0905
BibRef

Bodor, R., Drenner, A., Fehr, D., Masoud, O.T., Papanikolopoulos, N.P.,
View-independent human motion classification using image-based reconstruction,
IVC(27), No. 8, 2 July 2009, pp. 1194-1206.
Elsevier DOI 0906
Image-based rendering; Human motion recognition; Visual tracking; Shape reconstruction BibRef

Cao, D.W.[Dong-Wei], Masoud, O.T.[Osama T.], Boley, D.[Daniel], Papanikolopoulos, N.P.[Nikolaos P.],
Human motion recognition using support vector machines,
CVIU(113), No. 10, October 2009, pp. 1064-1075,.
Elsevier DOI 0910
Human motion recognition; Recursive filtering; Support vector machine BibRef

Gonzalez, J.[Jordi], Rowe, D.[Daniel], Varona, J.[Javier], Roca, F.X.[F. Xavier],
Understanding dynamic scenes based on human sequence evaluation,
IVC(27), No. 10, 2 September 2009, pp. 1433-1444.
Elsevier DOI 0906
Image Sequence Evaluation; High-level processing of monitored scenes; Segmentation and tracking in complex scenes; Event recognition in dynamic scenes; Human motion understanding; Human behaviour interpretation; Natural-language text generation; Realistic demonstrators BibRef

Underwood, S.[Sarah],
Making Sense of Real-Time Behavior,
CACM(53), No. 8, August 2010, pp. 17-18.
DOI Link 1101
Data captured by sensors worn on the human body and analyzed in near real-time could transform our understanding of human behavior, health, and society. BibRef

Lucena, M.J.[Manuel J.], de la Blanca, N.P.[Nicolás Pérez], Fuertes, J.M.[José Manuel],
Human action recognition based on aggregated local motion estimates,
MVA(23), No. 1, January 2012, pp. 135-150.
WWW Link. 1201
BibRef
Earlier: A1, A3, A2:
Human Motion Characterization Using Spatio-temporal Features,
IbPRIA07(I: 72-79).
Springer DOI 0706
BibRef

Marín-Jiménez, M.J.[Manuel J.], de la Blanca, N.P.[Nicolás Pérez],
Human Interaction Recognition by Motion Decoupling,
IbPRIA13(374-381).
Springer DOI 1307
BibRef

Marín-Jiménez, M.J.[Manuel Jesús], de la Blanca, N.P.[Nicolás Pérez], Mendoza, M.Á.[María Ángeles],
Learning Features for Human Action Recognition Using Multilayer Architectures,
IbPRIA11(338-346).
Springer DOI 1106
BibRef
Earlier:
RBM-based Silhouette Encoding for Human Action Modelling,
ICPR10(979-982).
IEEE DOI 1008
BibRef
Earlier: A3, A2, A1:
Fitting Product of HMM to Human Motions,
CAIP09(824-831).
Springer DOI 0909
BibRef

Mendoza, M.Á.[M. Ángeles], de la Blanca, N.P.[Nicolás Pérez],
Applying Space State Models in Human Action Recognition: A Comparative Study,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Mendoza, M.Á.[M. Ángeles], de la Blanca, N.P.[Nicolás Pérez],
HMM-Based Action Recognition Using Contour Histograms,
IbPRIA07(I: 394-401).
Springer DOI 0706
BibRef

Lucena, M.J.[Manuel J.], de la Blanca, N.P.[Nicolás Pérez], Fuertes, J.M.[José Manuel], Marín-Jiménez, M.J.[Manuel Jesús],
Human Action Recognition Using Optical Flow Accumulated Local Histograms,
IbPRIA09(32-39).
Springer DOI 0906

See also Matching Deformable Regions Using Local Histograms of Differential Invariants. BibRef

Marti-Puig, P.[Pere], Rodríguez, S.[Sara], de Paz, J.F.[Juan F.], Reig-Bolaño, R.[Ramon], Rubio, M.P.[Manuel P.], Bajo, J.[Javier],
Stereo Video Surveillance Multi-agent System: New Solutions for Human Motion Analysis,
JMIV(42), No. 2-3, February 2012, pp. 176-195.
WWW Link. 1202
BibRef

Correa, D.[Daniel], Balbinot, A.[Alexandre],
Experimental Videogrammetry and Accelerometry for the 2D Analysis of Human Motion,
Sensors(150), No. 2, March 2013, pp. 79-89.
HTML Version. 1304
BibRef

Khan, A.[Aftab], Hammerla, N.[Nils], Mellor, S.[Sebastian], Plötz, T.[Thomas],
Optimising sampling rates for accelerometer-based human activity recognition,
PRL(73), No. 1, 2016, pp. 33-40.
Elsevier DOI 1604
Activity recognition BibRef

Xiong, H.J.[Hai-Jun], Feng, B.[Bin], Wang, X.G.[Xing-Gang], Liu, W.Y.[Wen-Yu],
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition,
ECCV24(LIV: 251-270).
Springer DOI 2412
BibRef

Rizvi, S.M.A.[Syed Muhammad Ali], Ahmed, R.M.[Rameen Mobin], Alamdar, K.G.[Khawaja Ghulam], Khorasani, M.R.[Mehdi Raza], Memon, J.A.[Junaid Ahmed],
Human Detection and Localization in Indoor Disaster Environments Using UAVs,
ICRVC22(159-163)
IEEE DOI 2301
Measurement, Histograms, Runtime, Computational modeling, Hardware, Planning, Human Detection, Human Localization, Disaster Robotics, YOLO BibRef

Noceti, N.[Nicoletta], Sciutti, A.[Alessandra], Sandini, G.[Giulio],
Cognition Helps Vision: Recognizing Biological Motion Using Invariant Dynamic Cues,
CIAP15(II:676-686).
Springer DOI 1511
biological vs. non-biological dynamic events. BibRef

Pugin, E.V., Zhiznyakov, A.L.,
Classification of Features of Image Sequences,
PTVSBB15(79-81).
DOI Link 1508
Features of an image, features of sequence, semantic features. BibRef

Lehrmann, A.M.[Andreas M.], Gehler, P.V.[Peter V.], Nowozin, S.[Sebastian],
Efficient Nonlinear Markov Models for Human Motion,
CVPR14(1314-1321)
IEEE DOI 1409
Markov model BibRef

Prudêncio, J.[João], Aguiar, A.[Ana], Lucani, D.[Daniel],
Physical Activity Recognition from Smartphone Embedded Sensors,
IbPRIA13(863-872).
Springer DOI 1307
Using smart phone sensors (orientation) in activity recognition. BibRef

Habashi, P.[Pejman], Boufama, B.[Boubakeur], Ahmad, I.S.[Imran Shafiq],
A Better Trajectory Shape Descriptor for Human Activity Recognition,
ICIAR17(330-337).
Springer DOI 1706
BibRef
Earlier:
The Bag of Micro-Movements for Human Activity Recognition,
ICIAR15(269-276).
Springer DOI 1507
BibRef

Diaf, A.[Abdunnaser], Boufama, B.[Boubakeur], Benlamri, R.[Rachid],
A Compound Eigenspace for Recognizing Directed Human Activities,
ICIAR12(II: 122-129).
Springer DOI 1206
BibRef

Diaf, A.[Abdunnaser], Ksantini, R.[Riadh], Boufama, B.[Boubakeur], Benlamri, R.[Rachid],
A Novel Human Motion Recognition Method Based on Eigenspace,
ICIAR10(I: 167-175).
Springer DOI 1006
BibRef

Canton-Ferrer, C., Butko, T., Segura, C., Giro, X., Nadeu, C., Hernando, J., Casas, J.R.,
Audiovisual event detection towards scene understanding,
CVPR4HB09(81-88).
IEEE DOI 0906
BibRef

Gehrig, D., Schultz, T.,
Selecting relevant features for human motion recognition,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Lablack, A.[Adel], Djeraba, C.[Chabane],
Analysis of human behaviour in front of a target scene,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Blackburn, J.[Jaron], Ribeiro, E.[Eraldo],
Human Motion Recognition Using Isomap and Dynamic Time Warping,
HUMO07(285-298).
Springer DOI 0710
BibRef

Cantoni, V.[Virginio], Marmo, R.[Roberto], Zemblini, M.[Marco],
Video Surveillance and SOS Request,
CIAP07(560-565).
IEEE DOI 0709
Human surveillance in outdoor environment. BibRef

Ogale, A.S.[Abhijit S.], Karapurkar, A.[Alap], Aloimonos, Y.F.[Yi-Fannis],
View-Invariant Modeling and Recognition of Human Actions Using Grammars,
WDV06(115-126).
Springer DOI 0705
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Motion Understanding and Analysis, Surveys, Reviews, Evaulations .