Sciweavers

AVSS
2003
IEEE

Detection of Changes in Surveillance Videos

13 years 10 months ago
Detection of Changes in Surveillance Videos
In this paper we provide theoretical and experimental results that dimension of video trajectories is a useful tool to access mid-level content of videos, like, appearance or disappearance of an object, and changes in velocity and in direction of moving objects. Moreover, the amount of changes is proportional to the size of objects involved and their speed. All this is achieved by a robust technique of dimensionality computation of video trajectories based on eigenvalues.
Longin Jan Latecki, Xiangdong Wen, Nilesh Ghubade
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where AVSS
Authors Longin Jan Latecki, Xiangdong Wen, Nilesh Ghubade
Comments (0)