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CVPR
2003
IEEE
16 years 7 days ago
Object Segmentation in Videos from Moving Camera with MRFs on Color and Motion Features
In this paper we address the problem of fast segmenting moving objects in video acquired by moving camera or more generally with a moving background. We present an approach based ...
Rita Cucchiara, Andrea Prati, Roberto Vezzani
ECCV
2000
Springer
16 years 3 days ago
Quasi-Random Sampling for Condensation
The problem of tracking pedestrians from a moving car is a challenging one. The Condensation tracking algorithm is appealing for its generality and potential for real-time implemen...
Vasanth Philomin, Ramani Duraiswami, Larry S. Davi...
BMVC
1998
14 years 11 months ago
Gesture Recognition for Visually Mediated Interaction using Probabilistic Event Trajectories
An approach to gesture recognition is presented in which gestures are modelled probabilistically as sequences of visual events. These events are matched to visual input using prob...
Stephen J. McKenna, Shaogang Gong
ICPR
2006
IEEE
15 years 11 months ago
Adaptative Markov Random Fields for Omnidirectional Vision
Images obtained with catadioptric sensors contain significant deformations which prevent the direct use of classical image treatments. Thus, Markov Random Fields (MRF) whose usefu...
Cédric Demonceaux, Pascal Vasseur
ICIP
2006
IEEE
15 years 4 months ago
Discontinuity-Adaptive De-Interlacing Scheme Using Markov Random Field Model
— In this paper, a de-interlacing algorithm to find the optimal deinterlaced results given accuracy-limited motion information is proposed. The de-interlacing process is formula...
Min Li, Truong Q. Nguyen