16.7.3 Event Descriptions, Understanding Motion and Events

Chapter Contents (Back)
Event Understanding. Event Detection. General surveillance issues. See also Human Motion, General Analysis. See also Gesture Recognition Techniques.

Verificon,
2003.
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Earlier:
Building Qualitative Event Models Automatically from Visual Input,
ICCV98(350-355).
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Earlier:
Generation of Semantic Regions from Image Sequences,
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Scene understanding; Machine learning; Human behaviour BibRef

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Howarth, R.J.[Richard J.],
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Howarth, R.J., Buxton, H.,
Conceptual descriptions from monitoring and watching image sequences,
IVC(18), No. 2, January 2000, pp. 105-135.
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Earlier:
Visual Surveillance Monitoring and Watching,
ECCV96(II:321-334). BibRef
And:
Springer DOI Link
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VS98(Monitoring and Surveillance of Traffic Scenes). Monitor traffic pattern, determine the activities. BibRef

Buxton, H.[Hilary], Howarth, R.J.[Richard J.],
Watching Behaviour: The Role of Context and Learning,
ICIP96(II: 797-800).
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Howarth, R.J.[Richard J.],
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Ph.D.Thesis, University of Londonn, July 1994. BibRef 9407

Buxton, H.[Hilary], Gong, S.G.[Shao-Gang],
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AI(78), No. 1-2, October 1995, pp. 431-459.
WWW Version. Surveillance. BibRef 9510
Earlier:
Advanced Visual Surveillance Using Bayesian Networks,
Context95(xx) BibRef

Sun, R., Sessions, C.,
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EM-K Expectation-Maximization based on Kalman Filtering. And EM-C Expectation-Maximization with Condensation. ( See also Statistical Models of Visual Shape and Motion. ) See also C-Conditional Density Propagation for Visual Tracking. BibRef

Medioni, G.[Gérard], Cohen, I.[Isaac], Brémond, F.[François], Hongeng, S.[Somboon], Nevatia, R.[Ramakant],
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IEEE Abstract.
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Earlier: A1, A5, A2 only: DARPA98(63-72).
PDF Version. Integration of motion detection and tracking with baehvior inference to handle noisy data and inaccurate detections. Selection from scenarios. BibRef

Hongeng, S.[Somboon], Nevatia, R.[Ram], Bremond, F.[Francois],
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Hongeng, S.[Somboon], Nevatia, R.[Ram],
Large-scale event detection using semi-hidden markov models,
ICCV03(1455-1462).
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Earlier:
Multi-Agent Event Recognition,
ICCV01(II: 84-91).
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Hongeng, S.[Somboon], Brémond, F.[Francois], Nevatia, R.[Ramakant],
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Representation and Optimal Recognition of Human Activities,
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Hongeng, S.,
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Chella, A., Frixione, M., Gaglio, S.,
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WWW Version. 0101
Integrating AI approach of describing actions and computer vision approach of describing 3d motions. BibRef

Zhao, R.[Rong], Grosky, W.I.,
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Johnson, N.[Neil], Hogg, D.C.[David C.],
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Keren, D.[Daniel],
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Osadchy, M.[Margarita], Keren, D.[Daniel],
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Osadchy, M.[Margarita], Keren, D.[Daniel], Gal, Y.[Yaniv],
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Fablet, R., Bouthemy, P.,
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PAMI(25), No. 12, December 2003, pp. 1619-1624.
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Earlier:
Non-Parametric Motion Recognition Using Temporal Multiscale Gibbs Models,
CVPR01(I:501-508).
IEEE Abstract. 0110
Statistical model of distributions of motion features. Recognize different motion types. BibRef

Ng, J.[Jeffrey], Gong, S.G.[Shao-Gang],
Learning Pixel-Wise Signal Energy for Understanding Semantics,
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WWW Version. 0401
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Earlier: BMVC01(Session 8: Modelling Behaviour).
HTML Version. Queen Mary, University of London 0110
BibRef

Laptev, I.[Ivan], Lindeberg, T.[Tony],
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WWW Version. 0402
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Earlier:
Local Descriptors for Spatio-temporal Recognition,
SCVMA04(91-103).
Springer DOI Link 0405
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And:
Velocity adaptation of space-time interest points,
ICPR04(I: 52-56).
IEEE DOI Link 0409
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Earlier:
Space-time interest points,
ICCV03(432-439).
IEEE DOI Link 0311
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Lindeberg, T., Akbarzadeh, A., Laptev, I.,
Galilean-diagonalized spatio-temporal interest operators,
ICPR04(I: 57-62).
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Lu, C.M.[Chun-Mei], Ferrier, N.J.[Nicola J.],
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PAMI(26), No. 2, February 2004, pp. 258-263.
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Trajectory segmentation BibRef

Snidaro, L., Micheloni, C., Chiavedale, C.,
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Snidaro, L.[Lauro], Belluz, M.[Massimo], Foresti, G.L.[Gian Luca],
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AVSBS07(493-498).
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Goldenberg, R.[Roman], Kimmel, R.[Ron], Rivlin, E.[Ehud], Rudzsky, M.[Michael],
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Earlier:
'Dynamism of a Dog on a Leash' or Behavior Classification by Eigen-Decomposition of Periodic Motions,
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HTML Version. 0205
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Amer, A.[Aishy], Dubois, E.[Eric], Mitiche, A.[Amar],
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WWW Version. 0508
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Makris, D., Ellis, T.,
Learning Semantic Scene Models From Observing Activity in Visual Surveillance,
SMC-B(35), No. 3, June 2005, pp. 397-408.
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Earlier:
Automatic learning of an activity-based semantic scene model,
AVSBS03(183-188).
IEEE Abstract. 0310
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Earlier:
Spatial and Probabilistic Modelling of Pedestrian Behaviour,
BMVC02(Poster Session). 0208
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Pan, H.[Hao], van Beek, P.J.L.[Petrus J.L.],
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Lim, J.H.[Joo-Hwee], Jin, J.S.[Jesse S.],
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Smith, P.[Paul], Shah, M.[Mubarak], da Vitoria Lobo, N.[Niels],
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WWW Version. 0606
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Earlier:
Integrating and employing multiple levels of zoom for activity recognition,
CVPR04(II: 928-935).
IEEE Abstract. 0408
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Smith, P.[Paul], da Vitoria Lobo, N.[Niels], Shah, M.[Mubarak],
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Zelnik-Manor, L.[Lihi], Irani, M.[Michal],
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Degeneracies, dependencies and their implications in multi-body and multi-sequence factorizations,
Weinland, D.[Daniel], Ronfard, R.[Remi], Boyer, E.[Edmond],
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CVIU(103), No. 2-3, November-December 2006, pp. 249-257.
WWW Version. 0611
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Weinland, D.[Daniel], Boyer, E.[Edmond],
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CVPR08(1-7).
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Weinland, D.[Daniel], Boyer, E.[Edmond], Ronfard, R.[Remi],
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Elsevier DOI Link
WWW Version. 1102
Survey, Activity Recognition. Action/activity recognition; Survey; Computer vision BibRef

Jiang, H.[Hao], Drew, M.S.[Mark S.], Li, Z.N.[Ze-Nian],
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PAMI(29), No. 6, June 2007, pp. 959-975.
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Earlier:
Successive Convex Matching for Action Detection,
CVPR06(II: 1646-1653).
IEEE DOI Link 0606
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And:
Convex Quadratic Programming for Object Localization,
ICPR06(III: 24-27).
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Linear Programming Matching and Appearance-Adaptive Object Tracking,
EMMCVPR05(203-219).
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Bashir, F.I., Khokhar, A.A., Schonfeld, D.,
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Bashir, F.I., Qu, W.[Wei], Khokhar, A.A., Schonfeld, D.,
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ICIP09(801-804).
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Robust multi-dimensional Null Space representation for image retrieval and classification,
ICIP08(177-180).
IEEE DOI Link 0810
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Robust null space representation and sampling for view-invariant motion trajectory analysis,
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Ma, X.[Xiang], Schonfeld, D.[Dan], Khokhar, A.A.[Ashfaq A.],
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A General Two-Dimensional Hidden Markov Model and its Application in Image Classification,
ICIP07(VI: 41-44).
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Veeraraghavan, A.[Ashok], Chellappa, R.[Rama], Srinivasan, M.[Mandyam],
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PAMI(30), No. 3, March 2008, pp. 463-476.
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Turaga, P.K.[Pavan K.], Chellappa, R.[Rama],
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ICCVGIP10(282-289).
WWW Version. 1111
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Earlier:
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ICIP08(1704-1707).
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Turaga, P.K.[Pavan K.], Veeraraghavan, A.[Ashok], Chellappa, R.[Rama],
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WWW Version. 0902
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Earlier:
From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems,
CVPR07(1-8).
IEEE DOI Link 0706
Video clustering; Summarization; Surveillance; Cascade of linear dynamical systems; View invariance; Affine invariance; Rate invariance BibRef

Veeraraghavan, A.[Ashok], Roy-Chowdhury, A.K.[Amit K.],
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CVPR06(I: 959-968).
IEEE DOI Link 0606
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Sanmohan, Krüger, V.[Volker],
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SCIA09(31-40).
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Kruger, V.,
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HumMotBook08(3). 0802
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WWW Version. 0809
Signature; Trajectory descriptor; Trajectory representation; Motion perception; Trajectory recognition; Robot vision BibRef

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VSSN06(155-160).
WWW Version. 0611
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Block-Based Motion Vector Smoothing for Periodic Pattern Region,
ICIAR07(491-500).
Springer DOI Link 0708
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Visual surveillance; Event representation; Event recognition; Attribute graph grammar BibRef

Stauder, J.[Jürgen], Chupeau, B.[Bertrand], Oisel, L.[Lionel], Chevallier, L.[Louis],
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Earlier: A1, A2, Only:
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WWW Version. 0907
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Papadopoulos, G.T.[Georgios T.], Briassouli, A., Mezaris, V.[Vasileios], Kompatsiaris, I.[Ioannis], Strintzis, M.G.[Michael G.],
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Earlier: A1, A3, A4, A5:
Estimation and representation of accumulated motion characteristics for semantic event detection,
ICIP08(41-44).
IEEE DOI Link 0810
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And: A1, A3, A4, A5:
Accumulated motion energy fields estimation and representation for semantic event detection,
CIVR08(221-230). 0807
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Papadopoulos, G.T.[Georgios T.], Mezaris, V.[Vasileios], Kompatsiaris, I.[Ioannis], Strintzis, M.G.[Michael G.],
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WWW Version. 1008
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Earlier:
Wavelet domain processing for trajectory extraction,
ICIP08(1560-1563).
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Avgerinakis, K.[Konstantinos], Briassouli, A.[Alexia], Kompatsiaris, I.[Ioannis],
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WWW Version. 1111
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WWW Version. 1011
Object recognition; Action recognition; Contextual recognition; Object affordances; Learning from demonstration BibRef

Ko, T.[Teresa], Hyman, J., Graham, E., Hansen, M., Soatto, S.[Stefano], Estrin, D.[Deborah],
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Dag, N.[Nilgun], Atil, I.[Ilkay], Kalkan, S.[Sinan], Sahin, E.[Erol],
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Lui, Y.M.[Yui Man], Beveridge, J.R.[J. Ross], Kirby, M.[Michael],
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Noguchi, A.[Akitsugu], Yanai, K.[Keiji],
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Han, D.[Dong], Bo, L.[Liefeng], Sminchisescu, C.[Cristian],
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IEEE DOI Link 0909
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Motion Histogram Analysis Based Key Frame Extraction for Human Action/Activity Representation,
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Shao, L.[Ling], Mattivi, R.[Riccardo],
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Concha, O.P.[Oscar Perez], Xu, R.Y.D.[Richard Yi Da], Moghaddam, Z.[Zia], Piccardi, M.[Massimo],
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Moghaddam, Z.[Zia], Piccardi, M.[Massimo],
Human action recognition with MPEG-7 descriptors and architectures,
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Moghaddam, Z.[Zia], Piccardi, M.[Massimo],
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Histogram-Based Training Initialisation of Hidden Markov Models for Human Action Recognition,
AVSS10(256-261).
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Earlier:
Deterministic Initialization of Hidden Markov Models for Human Action Recognition,
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Jiang, H.[Hao], Martin, D.R.[David R.],
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Xiong, F.[Fei], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
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Li, B.L.[Bin-Long], Ayazoglu, M.[Mustafa], Mao, T.[Teresa], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
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Ding, T.[Tao], Sznaier, M.[Mario], Camps, O.I.[Octavia I.],
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Cao, L.L.[Liang-Liang], Luo, J.B.[Jie-Bo], Kautz, H.[Henry], Huang, T.S.[Thomas S.],
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Huebner, K.[Kai], Björkman, M.[Mĺrten], Rasolzadeh, B.[Babak], Schmidt, M.[Martina], Kragic, D.[Danica],
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Senior, A.W., Brown, L., Hampapur, A., Shu, C.F., Zhai, Y., Feris, R.S., Tian, Y.L., Borger, S., Carlson, C.,
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Venetianer, P.L., Zhang, Z., Scanlon, A., Hu, Y., Lipton, A.J.,
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Jhuang, H., Serre, T., Wolf, L., Poggio, T.,
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Yuk, J.S.C.[Jacky S.C.], Wong, K.Y.K.[Kwan-Yee K.], Chung, R.H.Y.[Ronald H.Y.], Chow, K.P., Chin, F.Y.L.[Francis Y.L.], Tsang, K.S.H.[Kenneth S.H.],
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Vision and Action in the Language-Ready Brain: From Mirror Neurons to SemRep,
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Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers,
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Objects in Action: An Approach for Combining Action Understanding and Object Perception,
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Kaiser, B.[Benedikt], Heidemann, G.[Gunther],
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Context-Free Detection of Events,
SCIA07(223-232).
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Grest, D.[Daniel], Krüger, V.[Volker], Koch, R.[Reinhard],
Single View Motion Tracking by Depth and Silhouette Information,
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Krüger, V.[Volker], Grest, D.[Daniel],
Using Hidden Markov Models for Recognizing Action Primitives in Complex Actions,
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Krüger, V.[Volker],
Recognizing Action Primitives in Complex Actions Using Hidden Markov Models,
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Park, T.S.[Tae-Su], Lee, J.H.[Ju-Hong], Park, S.H.[Sang-Ho], Choi, B.[Bumghi], Kim, D.H.[Deok-Hwan],
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Alahari, K.[Karteek], Jawahar, C.V.,
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Muncaster, J.[Justin], Ma, Y.Q.[Yun-Qian],
Activity Recognition using Dynamic Bayesian Networks with Automatic State Selection,
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Ma, Y.Q.[Yun-Qian], Damelin, S.B., Masoud, O.T., Papanikolopoulos, N.P.,
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Ma, Y.Q.[Yun-Qian], Bazakos, M.[Mike], Miller, B.[Ben], Buddharaju, P.[Pradeep],
Activity Awareness: from Predefined Events to New Pattern Discovery,
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Ma, Y.Q.[Yun-Qian], Buddharaju, P.[Pradeep], Bazakos, M.[Mike],
Pattern Discovery for Video Surveillance,
ISVC05(347-354).
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Dockstader, S.L.[Shiloh L.],
Motion Trajectory Classification for Visual Surveillance and Tracking,
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Wang, T.[Tao], Li, J.G.[Jian-Guo], Diao, Q.[Qian], Hu, W.[Wei], Zhang, Y.M.[Yi-Min], Dulong, C.[Carole],
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Syeda-Mahmood, T.F.,
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BMCV02(528 ff.).
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Satoh, Y., Tanahashi, H., Wang, C.H.[Cai-Hua], Kaneko, S., Niwa, Y., Yamamoto, K.,
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Integrated event recognition from multiple sources,
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Xu, G.[Gu], Ma, Y.F.[Yu-Fei], Zhang, H.J.[Hong-Jiang], Yang, S.Q.A.[Shi-Qi-Ang],
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Event Models, Action Models, Motion Detection for Events, Backgrounds .


Last update:Feb 8, 2012 at 11:25:05