Title :
Backpack: detection of people carrying objects using silhouettes
Author :
Haritaoglu, Ismail ; Cutler, Ross ; Harwood, David ; Davis, Larry S.
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
Abstract :
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
Keywords :
image segmentation; motion estimation; surveillance; Backpack; appearance model; motion estimation; segmented; static symmetry analysis; video-rate surveillance; Biological system modeling; Cameras; Computer vision; Electrical capacitance tomography; Monitoring; Motion estimation; Object detection; Read only memory; Shape; Surveillance;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791204