Multiple objects tracking across multiple non-overlapped views

Authors:
Ke-Yin Chen;Chung-Lin Huang;Shih-Chung Hsu;I-Cheng Chang
Affiliations:
Department of Electrical Engineering, National Tsing Hua University, Hsin-Chu, Taiwan;Department of Electrical Engineering, National Tsing Hua University, Hsin-Chu, Taiwan;Department of Electrical Engineering, National Tsing Hua University, Hsin-Chu, Taiwan;Department of Information Science and Engineering, National Don-Hwa University, Ha-Lien, Taiwan
Venue:
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
Year:
2011

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Abstract

This paper introduces a tracking algorithm to track the multiple objects across multiple non-overlapped views. First, we track every single object in each single view and record its activity as the object-based video fragments (OVFs). By linking the related OVFs across different cameras, we may connect two OVFs across two non-overlapped views. Because of scene illumination change, blind region lingering, and objects similar appearance, we may have the problem of path misconnection and fragmentation. This paper develops the Error Path Detection Function (EPDF) and uses the augmented feature (AF) to solve those two problems.