Simultaneous tracking and registration in a multisensor surveillance system
In this paper, we present a multisensor surveillance system that consists of an optical sensor and an infrared sensor. In this system, a background subtraction method based on zero-order statistics is utilized for the moving object segmentation. Additionally, we propose a generic approach to simultaneous object tracking and multisensor image registration. An efficient face detection system is shown as an application that will have enhanced performance from the registration and fusion of the information from the two sensors. Experimental results show the efficacy of the proposed system.