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» Mining Surveillance Video for Independent Motion Detection
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Publication
195views
14 years 1 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
Detection of motion patterns in video data can be significantly simplified by abstracting away from pixel intensity values towards representations that explicitly and compactly ca...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos
ICIP
2009
IEEE
14 years 6 months ago
Detecting Contextual Anomalies Of Crowd Motion In Surveillance Video
Many works have been proposed on detecting individual anomalies in crowd scenes, i.e., human behaviors anomalous with respect to the rest of the behaviors. In this paper, we intro...
AVSS
2006
IEEE
13 years 12 months ago
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difï...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
ISCAS
2005
IEEE
171views Hardware» more  ISCAS 2005»
13 years 11 months ago
Compressed-domain fall incident detection for intelligent home surveillance
—This paper presents a compressed-domain fall incident detection scheme for intelligent home surveillance applications. For object extraction, global motion parameters are estima...
Chia-Wen Lin, Zhi-Hong Ling, Yuan-Cheng Chang, Chu...
PR
2008
328views more  PR 2008»
13 years 5 months ago
Activity based surveillance video content modelling
This paper tackles the problem of surveillance video content modelling. Given a set of surveillance videos, the aims of our work are twofold: firstly a continuous video is segment...
Tao Xiang, Shaogang Gong