DocumentCode
1809758
Title
Detection of changes in surveillance videos
Author
Latecki, Longin Jan ; Wen, Xiangdong ; Ghubade, Nilesh
Author_Institution
CIS Dept., Temple Univ., Philadelphia, PA, USA
fYear
2003
fDate
21-22 July 2003
Firstpage
237
Lastpage
242
Abstract
We provide theoretical and experimental results showing that the dimension of video trajectories is a useful tool to access the mid-level content of videos, such as the appearance or disappearance of an object, and changes in the velocity and direction of moving objects. Moreover, the amount of change is proportional to the size of the objects involved and their speed. All this is achieved by a robust technique of dimensionality computation of video trajectories based on eigenvalues.
Keywords
eigenvalues and eigenfunctions; image motion analysis; object detection; surveillance; video signal processing; change detection; direction change; eigenvalues; moving objects; object appearance; object disappearance; surveillance videos; velocity change; video trajectories; Computational Intelligence Society; Histograms; Interpolation; Mathematics; Pixel; Robustness; Surveillance; Trajectory; Vectors; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Video and Signal Based Surveillance, 2003. Proceedings. IEEE Conference on
Print_ISBN
0-7695-1971-7
Type
conf
DOI
10.1109/AVSS.2003.1217927
Filename
1217927
Link To Document