DocumentCode
433127
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
Volume
4
fYear
2004
fDate
24-27 Oct. 2004
Firstpage
2595
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-8554-3
Type
conf
DOI
10.1109/ICIP.2004.1421634
Filename
1421634
Link To Document