Heterogeneous Fusion of Omnidirectional and PTZ Cameras for Multiple Object Tracking

Dual-camera systems have been widely used in surveillance because of the ability to explore the wide field of view (FOV) of the omnidirectional camera and the wide zoom range of the PTZ camera. Most existing algorithms require a priori knowledge of the omnidirectional camera's projection model to solve the nonlinear spatial correspondences between the two cameras. To overcome this limitation, two methods are proposed: 1) geometry and 2) homography calibration, where polynomials with automated model selection are used to approximate the camera's projection model and spatial mapping, respectively. The proposed methods not only improve the mapping accuracy by reducing its dependence on the knowledge of the projection model but also feature reduced computations and improved flexibility in adjusting to varying system configurations. Although the fusion of multiple cameras has attracted increasing attention, most existing algorithms assume comparable FOV and resolution levels among...

• Type: Journal
• Year: 2008
• Where: TCSV
• Authors: Chung-Hao Chen, Yi Yao, David Page, Besma R. Abidi, Andreas Koschan, Mongi A. Abidi
• Keywords: Camera, Omnidirectional Camera, PTZ Camera, TCSV 2008