Title :
Detection and tracking of moving objects in image sequences with varying illumination
Author :
Xu, Min ; Niu, Ruixin ; Varshney, Pramod K.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
Abstract :
Change detection is known to be a significant and difficult research problem in automated surveillance systems. In this paper, we propose a new change detection approach based on the least squares method, which is robust to changes in illumination and shadow conditions. This new approach is employed to design our detection and tracking system that is shown to successfully detect a moving object in a complex outdoor environment.
Keywords :
image sequences; least squares approximations; object detection; surveillance; tracking; automated surveillance system; illumination-shadow condition; image sequence; least squares method; moving object tracking-detection; Computer science; Image edge detection; Image sequences; Least squares methods; Lighting; Noise robustness; Object detection; Power system modeling; Testing; Working environment noise;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1421634
