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

Volume

1

fYear

1999

fDate

1999

Firstpage

102

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on

Conference_Location

Kerkyra

Print_ISBN

0-7695-0164-8

Type

conf

DOI

10.1109/ICCV.1999.791204

Filename

791204