Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Ontology-based hierarchical conceptual model for semantic representation of events in dynamic scenes
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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We present a multi-view three dimensional intelligent surveillance system. We use a multi-agent framework to identify the behaviors of individuals in the scene. Detection and interpretation are performed completely in 3D space. A moving train coach is monitored by eight fish-eye cameras. Segmentation masks extracted from the undistorted images are fed to a distributed 3D reconstruction algorithm producing an octree-based description of the volume at each frame. Voxel-based algorithms extract connected-regions and their descriptions from consecutive models. The set of regions is mapped to a set of agents. We achieve dynamically consistent high-level interpretations by combining probabilistic models of human behaviors and intelligent reasoning.