In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosa...
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
This paper describes a new method for temporally calibrating multiple cameras by image processing operations. Existing multi-camera algorithms assume that the input sequences are ...
—Color models are often used for representing object appearance for foreground segmentation applications. The relationships between colors can be just as useful for object select...
—This paper presents a new framework for the completion of missing information based on local structures. It poses the task of completion as a global optimization problem with a ...