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» Motion Strategies for Surveillance
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AVSS
2006
IEEE
14 years 2 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 ...
ICIP
2004
IEEE
14 years 9 months ago
Simultaneous background and foreground modeling for tracking in surveillance video
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
Jie Shao, Shaohua Kevin Zhou, Rama Chellappa
AVSS
2006
IEEE
14 years 2 months ago
Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments
In this paper we report on techniques for automatically learning foveal sensing strategies for an active pan-tiltzoom camera. The approach uses reinforcement learning to discover ...
Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunz...
ICIP
2001
IEEE
14 years 9 months ago
Segmentation-based spatially adaptive motion blur removal and its application to surveillance systems
Various image restoration methods have been studied for removing space-variant motion blur such as iterative and POCS method. However, their computational complexity of the method...
SangKyu Kang, Jihong Min, Joon Ki Paik
ISCAS
2005
IEEE
171views Hardware» more  ISCAS 2005»
14 years 1 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...