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Person re-identification across multi-camera system based on local descriptors

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3 Author(s)
Qiao Huang ; Key Lab. of Syst. Control & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China ; Jie Yang ; Yu Qiao

Tracking the same person across multiple cameras is an important task in multi-camera systems. It is also desirable to re-identify the individuals who have been previously seen with a single-camera. This paper addresses this problem by the re-identification of the same individual in two different datasets, which are both challenging situations from video surveillance system. In this paper, local descriptors are introduced for image description, and support vector machines are employed for high classification performance and so an efficient Bag of Features approach for image presentation. In this way, robustness against low resolution, occlusion and pose, viewpoint and illumination changes is achieved in a very fast way. We get promising results from the evaluation with situations where a number of individuals vary continuously from a multi-camera system.

Published in:

Distributed Smart Cameras (ICDSC), 2012 Sixth International Conference on

Date of Conference:

Oct. 30 2012-Nov. 2 2012