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JIPS
2010
176views more  JIPS 2010»
13 years 2 days ago
Recognition of Human Facial Expression in a Video Image using the Active Appearance Model
Tracking human facial expression within a video image has many useful applications, such as surveillance and teleconferencing, etc. Initially, the Active Appearance Model (AAM) was...
Gyeong-Sic Jo, Yong-Guk Kim
ICASSP
2011
IEEE
12 years 9 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
AMFG
2007
IEEE
238views Biometrics» more  AMFG 2007»
13 years 9 months ago
Towards Pose-Invariant 2D Face Classification for Surveillance
A key problem for "face in the crowd" recognition from existing surveillance cameras in public spaces (such as mass transit centres) is the issue of pose mismatches betwe...
Conrad Sanderson, Ting Shan, Brian C. Lovell
ICPR
2008
IEEE
13 years 11 months ago
Monocular video foreground segmentation system
This paper proposes an automatic foreground segmentation system based on Gaussian mixture models and dynamic graph cut algorithm. An adaptive perpixel background model is develope...
Xiaoyu Wu, Yangsheng Wang, Xiaolong Zheng
TCSV
2008
148views more  TCSV 2008»
13 years 5 months ago
Modeling Background and Segmenting Moving Objects from Compressed Video
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
Weiqiang Wang, Jie Yang, Wen Gao