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CVPR
2007
IEEE
16 years 3 days ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
PCM
2004
Springer
118views Multimedia» more  PCM 2004»
15 years 3 months ago
Reach-Through-the-Screen: A New Metaphor for Remote Collaboration
For some years, our group at FX Palo Alto Laboratory has been developing technologies to support meeting recording, collaboration, and videoconferencing. This paper presents severa...
Jonathan Foote, Qiong Liu, Don Kimber, Patrick Chi...
CAIP
2003
Springer
176views Image Analysis» more  CAIP 2003»
15 years 3 months ago
Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance
Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
Qi Zang, Reinhard Klette
IVC
2002
185views more  IVC 2002»
14 years 9 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis
ICIP
1999
IEEE
15 years 11 months ago
Face Recognition of Video Sequences in a Mpeg-7 Context Using a Global Eigen Approach
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
Luis Lorente, Luis Torres