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CVPR
2006
IEEE
16 years 8 months ago
Multi-Camera Scene Flow by Tracking 3-D Points and Surfels
Scene flow represents the 3-D motion of points in the scene, just as optical flow is related to their 2-D motion in the images. As opposed to classical methods which compute scene...
Frederic Devernay, Diana Mateus, Matthieu Guilbert
CVPR
2006
IEEE
16 years 8 months ago
On-line Boosting and Vision
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
Helmut Grabner, Horst Bischof
CVPR
2006
IEEE
16 years 8 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
CVPR
2006
IEEE
16 years 8 months ago
Recursive estimation of generative models of video
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Joj...
CVPR
2006
IEEE
16 years 8 months ago
Intelligent Collaborative Tracking by Mining Auxiliary Objects
Many tracking methods face a fundamental dilemma in practice: tracking has to be computationally efficient but verifying if or not the tracker is following the true target tends t...
Ming Yang, Ying Wu, Shihong Lao