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Indexed by:期刊论文

Date of Publication:2012-09-01

Journal:International Journal of Advancements in Computing Technology

Included Journals:EI、Scopus

Volume:4

Issue:17

Page Number:326-333

ISSN No.:20058039

Abstract:In this paper, we propose a novel homography-based multiple cameras tracking algorithm. Firstly, the foreground likelihood map in each view is obtained by using the Codebook background modeling algorithm. Then, the view-to-view homographies induced by the chosen plane are computed by using several static landmarks. Trajectories of multiple objects on the plane are calculated by using the Shortest Path Algorithm (SPA). Finally, we achieve the 3D tracking of multiple objects by combining the trajectories on the selected plane and the results of foreground detection. Compared with other popular methods, our proposed algorithm does not require computing the vanishing points of multiple cameras. Therefore, it reduces the complexity and improves the accuracy in the meanwhile. The tracking efficiency is also improved by using SPA algorithm. The experimental results demonstrate that our method is robust to occlusion and also achieves real-time tracking performance.