A framework for recognizing multi-agent action from visual evidence
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Recognition of Group Activities using Dynamic Probabilistic Networks
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Detecting Rare Events in Video Using Semantic Primitives with HMM
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Video-based event recognition: activity representation and probabilistic recognition methods
Computer Vision and Image Understanding - Special issue on event detection in video
Video Behaviour Profiling and Abnormality Detection without Manual Labelling
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Joint Recognition of Complex Events and Track Matching
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Event Recognition with Fragmented Object Tracks
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
Learning Motion Patterns in Surveillance Video using HMM Clustering
WMVC '08 Proceedings of the 2008 IEEE Workshop on Motion and video Computing
Towards ontology based cognitive vision
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Learning semantic scene models from observing activity in visual surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A probabilistic plan recognition algorithm based on plan tree grammars
Artificial Intelligence
International Journal of Robotics Research
Event Model Learning from Complex Videos using ILP
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
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With recent advances in motion detection and tracking in video, more efforts are being directed at higher-level video analysis such as recognizing actions, events and activities. One of the more challenging problems is recognizing activities that involve multiple people and/or vehicles, whose relationships change over time, when motion detection and tracking are unreliable, as commonly occurs in busy scenes. We describe an approach to this problem based on Dynamic Bayesian Networks, and show how DBNs can be extended to compensate for track failures. We also show that defining DBNs with semantic concepts improves robustness vs. direct observable, and discuss implications and ideas for incorporating semantic, symbolic knowledge into the perceptual domain of activity recognition.