Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras

Abstract

1077-3142/$ see front matter 2009 Elsevier Inc. A doi:10.1016/j.cviu.2009.04.004 * Corresponding author. Fax: +1 865 974 5459. E-mail addresses: cchen10@utk.edu (C.-H. Chen dpage@utk.edu (D. Page), besma@utk.edu (B. Abidi), ak abidi@utk.edu (M. Abidi). In a multi-camera surveillance system, both camera handoff and placement play an important role in generating an automated and persistent object tracking, typical of most surveillance requirements. Camera handoff should comprise three fundamental components, time to trigger handoff process, the execution of consistent labeling, and the selection of the next optimal camera. In this paper, we design an observation measure to quantitatively formulate the effectiveness of object tracking so that we can trigger camera handoff timely and select the next camera appropriately before the tracked object falls out of the field of view (FOV) of the currently observing camera. In the meantime, we present a novel solution to the consistent labeling problem in omnidirectional cameras. A spatial mapping procedure is proposed to consider both the noise inherent to the tracking algorithms used by the system and the lens distortion introduced by omnidirectional cameras. This does not only avoid the tedious process, but also increases the accuracy, to obtain the correspondence between omnidirectional cameras without human interventions. We also propose to use the Wilcoxon Signed-Rank Test to improve the accuracy of trajectory association between pairs of objects. In addition, since we need a certain amount of time to successfully carry out the camera handoff procedure, we introduce an additional constraint to optimally reserve sufficient cameras’ overlapped FOVs for the camera placement. Experiments show that our proposed observation measure can quantitatively formulate the effectiveness of tracking, so that camera handoff can smoothly transfer objects of interest. Meanwhile, our proposed consistent labeling approach can perform as accurately as the geometry-based approach without tedious calibration processes and outperform Calderara’s homography-based approach. Our proposed camera placement method exhibits a significant increase in the camera handoff success rate at the cost of slightly decreased coverage, as compared to Erdem and Sclaroff’s method without considering the requirement on overlapped FOVs. 2009 Elsevier Inc. All rights reserved.

DOI: 10.1016/j.cviu.2009.04.004

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@article{Chen2010CameraHA, title={Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras}, author={Chung-Hao Chen and Yi Yao and David L. Page and Besma Roui-Abidi and Andreas F. Koschan and Mongi A. Abidi}, journal={Computer Vision and Image Understanding}, year={2010}, volume={114}, pages={179-197} }