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ICIP
2004
IEEE
14 years 6 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
MVA
2000
166views Computer Vision» more  MVA 2000»
13 years 6 months ago
Motion Segmentation and Tracking by Embedding Global Model Within a Contextual Relaxation Scheme
IAPR Workshop on Machine Vision and Applications, pp. 455-458, 2000, Tokyo, Japan In this paper, we integrate the model-based tracking and local contexture (temporal and spatial) ...
Yunqiang Chen, Thomas S. Huang
MVA
2007
160views Computer Vision» more  MVA 2007»
13 years 6 months ago
Probabilistic Motion Segmentation of Videos for Temporal Super Resolution
A novel scheme is proposed for achieving motion segmentation in low-frame rate videos, with application to temporal super resolution. Probabilistic generative models are commonly ...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
ICIP
2006
IEEE
14 years 6 months ago
Light and Fast Statistical Motion Detection Method Based on Ergodic Model
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
DAGSTUHL
1997
13 years 6 months ago
Fast and Accurate Collision Detection for Virtual Environments
A realistic simulation system, which couples geometry and physics, can provide a useful toolkit for virtual environments. Interactions among moving objects in the virtual worlds a...
Ming C. Lin