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A number of surveillance scenarios require the detection and tracking of people. Although person detection and counting systems are commercially available today, there is need for further research to address the challenges of real world scenarios. The focus of this work is the segmentation of groups of people into individuals. One relevant application of this algorithm is people counting. Experiments document that the presented approach leads to robust people counts. © 2005 IEEE.

Original publication

DOI

10.1109/AVSS.2005.1577286

Type

Journal article

Journal

IEEE International Conference on Advanced Video and Signal Based Surveillance - Proceedings of AVSS 2005

Publication Date

01/12/2005

Volume

2005

Pages

306 - 311