Backpack: detection of people carrying objects using silhouettes
- Resource Type
- Conference
- Authors
- Haritaoglu, I.; Cutler, R.; Harwood, D.; Davis, L.S.
- Source
- Proceedings of the Seventh IEEE International Conference on Computer Vision Computer vision Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on. 1:102-107 vol.1 1999
- Subject
- Computing and Processing
Signal Processing and Analysis
Object detection
Electrical capacitance tomography
Shape
Surveillance
Cameras
Computer vision
Read only memory
Motion estimation
Monitoring
Biological system modeling
- Language
We described a video-rate surveillance algorithm to detect and track people from a stationary camera, and to determine if they are carrying objects or moving unencumbered. The contribution of the paper is the shape analysis algorithm that both determines if a person is carrying an object and segments the object from the person so that it can be tracked, e.g., during an exchange of objects between two people. As the object is segmented an appearance model of the object is constructed. The method combines periodic motion estimation with static symmetry analysis of the silhouettes of a person in each frame of the sequence. Experimental results demonstrate robustness and real-time performance of the proposed algorithm.