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» Automatic feature selection for anomaly detection
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CVPR
2007
IEEE
15 years 11 months 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
CIVR
2007
Springer
254views Image Analysis» more  CIVR 2007»
15 years 1 months ago
Soccer players identification based on visual local features
Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
MM
2005
ACM
178views Multimedia» more  MM 2005»
15 years 3 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
TIP
2008
124views more  TIP 2008»
14 years 9 months ago
GAFFE: A Gaze-Attentive Fixation Finding Engine
Abstract-- The ability to automatically detect visually interesting regions in images has many practical applications, especially in the design of active machine vision and automat...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
IVC
2006
187views more  IVC 2006»
14 years 9 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...