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DAGM
2007
Springer
13 years 11 months ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...
CVPR
2011
IEEE
13 years 3 months ago
Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
Taehee Lee, Stefano Soatto
CVPR
2010
IEEE
14 years 1 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
MVA
2007
150views Computer Vision» more  MVA 2007»
13 years 9 months ago
Detecting the Degree of Anomal in Security Video
We have developed a method that can discriminate anomalous image sequences for more efficiently utilizing security videos. To match the wide popularity of security cameras, the me...
Kyoko Sudo, Tatsuya Osawa, Xiaojun Wu, Kaoru Wakab...
ICPR
2010
IEEE
14 years 1 months ago
Transitive Closure Based Visual Words for Point Matching in Video Sequence
We present Transitive Closure based visual word formation technique for obtaining robust object representations from smoothly varying multiple views. Each one of our visual words ...
Srikrishna Bhat, Marie-Odile Berger, Gilles Simon,...