The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Recognition of visual activities and interactions by stochastic parsing
Abstract
This paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents. The fundamental idea is to divide the recognition problem into two levels. The lower level detections are performed using standard independent probabilistic event detectors to propose candidate detections of low-level features. The outputs of these detectors provide the input stream for a stochastic context-free grammar parsing mechanism. The grammar and parser provide longer range temporal constraints, disambiguate uncertain low-level detections, and allow the inclusion of a priori knowledge about the structure of temporal events in a given domain. We develop a real-time system and demonstrate the approach in several experiments on gesture recognition and in video surveillance. In the surveillance application, we show how the system correctly interprets activities of multiple interacting objects.
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Citations
Cites
Recognizing human action in time-sequential images using hidden Markov model
Yamato, J., Ohya, J., & Ishii, K. (2003) · Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1992.223161 · Cited by 1,273
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The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities
Kuehne, H., Arslan, A., & Serre, T. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.105 · Cited by 571
Trajectory-Based Anomalous Event Detection
Piciarelli, C., Micheloni, C., & Foresti, G. L. (2008) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2008.2005599 · Cited by 532
Layered representations for learning and inferring office activity from multiple sensory channels
Oliver, N., Garg, A., & Horvitz, E. (2004) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.02.004 · Cited by 316
Layered representations for human activity recognition
Oliver, N., Horvitz, E., & Garg, A. (2003) · Proceedings. Fourth IEEE International Conference on Multimodal Interfaces · doi:10.1109/icmi.2002.1166960 · Cited by 312
Ontology‐based activity recognition in intelligent pervasive environments
Chen, L., & Nugent, C. (2009) · International Journal of Web Information Systems · doi:10.1108/17440080911006199 · Cited by 253
A survey on behavior analysis in video surveillance for homeland security applications
Ko, T. (2008) · 2008 37th IEEE Applied Imagery Pattern Recognition Workshop · doi:10.1109/aipr.2008.4906450 · Cited by 209
Expectation grammars: leveraging high-level expectations for activity recognition
Minnen, D., Essa, I., & Starner, T. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. · doi:10.1109/cvpr.2003.1211525 · Cited by 110
Video based technology for ambient assisted living: A review of the literature
Cardinaux, F., Bhowmik, D., Abhayaratne, C., & Hawley, M. S. (2011) · Journal of Ambient Intelligence and Smart Environments · doi:10.3233/ais-2011-0110 · Cited by 98
Brown, C. H., Kellam, S. G., Kaupert, S., Muthén, B. O., Wang, W., Muthén, L. K., Chamberlain, P., PoVey, C. L., Cady, R., Valente, T. W., et al. (2012) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-011-0387-3 · Cited by 68
Recognition of human activity through hierarchical stochastic learning
Luhr, S., Bui, H. H., Venkatesh, S., & West, G. A. W. (2004) · Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003). · doi:10.1109/percom.2003.1192766 · Cited by 58
Learning People Movement Model from Multiple Cameras for Behaviour Recognition
Nguyen, N. T., Venkatesh, S., West, G. A. W., & Bui, H. H. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-27868-9_33 · Cited by 7
Metadata
- Authors
- Ivanov, Y. A., & Bobick, A. F.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2000
- Volume
- 22
- Issue
- 8
- Pages
- 852-872
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2160517719
- Cited by
- 659
- References
- 1
- FWCI
- 15.34
- Type
- journal article
- Language
- en
- Open access
- closed
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