TY - GEN
T1 - Moving object localization in thermal imagery by forward-backward MHI
AU - Zhaozheng, Yin
AU - Collins, Robert
PY - 2006
Y1 - 2006
N2 - Detecting moving objects automatically is a key component of an automatic visual surveillance and tracking system. In airborne thermal video, the moving objects may be small, color information in not available, and even intensity appearance may be camouflaged. Previous motion-based moving object detection approaches often use background subtraction, inter-frame difference or three-frame difference. In this paper, we describe a detection and localization method based on forward-backward motion history images (MHI). This method can accurately detect location and shape of moving objects for initializing a tracker. Using long and varied video sequences, we quantify the effectiveness of this method.
AB - Detecting moving objects automatically is a key component of an automatic visual surveillance and tracking system. In airborne thermal video, the moving objects may be small, color information in not available, and even intensity appearance may be camouflaged. Previous motion-based moving object detection approaches often use background subtraction, inter-frame difference or three-frame difference. In this paper, we describe a detection and localization method based on forward-backward motion history images (MHI). This method can accurately detect location and shape of moving objects for initializing a tracker. Using long and varied video sequences, we quantify the effectiveness of this method.
UR - https://www.scopus.com/pages/publications/33845533366
U2 - 10.1109/CVPRW.2006.131
DO - 10.1109/CVPRW.2006.131
M3 - Conference contribution
SN - 0769526462
SN - 9780769526461
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
BT - 2006 Conference on Computer Vision and Pattern Recognition Workshop
T2 - 2006 Conference on Computer Vision and Pattern Recognition Workshops
Y2 - 17 June 2006 through 22 June 2006
ER -