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CVPR
2004
IEEE
16 years 4 months ago
A Discriminative Feature Space for Detecting and Recognizing Faces
In this paper, we introduce a novel discriminative feature space which is efficient not only for face detection but also for recognition. The face representation is based on local...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
IBPRIA
2009
Springer
15 years 6 months ago
Local Boosted Features for Pedestrian Detection
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
145
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ICIP
2008
IEEE
16 years 4 months ago
Local feature extraction for video copy detection in a database
In this paper a new content-based copy identification method for video sequences is presented. It is robust to a number of image transformations and particulary robust to compress...
Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Kat...
IVC
2007
266views more  IVC 2007»
15 years 2 months ago
Face detection and facial feature localization without considering the appearance of image context
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...
Suphakant Phimoltares, Chidchanok Lursinsap, Kosin...
CVPR
1996
IEEE
16 years 4 months ago
Video Browsing Using Edges and Motion
Automatic video browsing requires algorithms for detecting a variety of events, including production effects (e.g., scene breaks and captions) and moving objects. We present new m...
Ramin Zabih, Justin Miller, Kevin Mai