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Illumination Invariant and Occlusion Robust Vehicle Tracking by Spatio-Temporal MRF Model (2002)  (Make Corrections)  (1 citation)
Shunsuke KAMIJO, Masao SAKAUCHI



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Abstract: For many years, vehicle tracking in tra#c images has su#ered from the problems of occlusions and sudden variations in illumination. In order to resolve these occlusion problems, we have been proposing the Spatio-Temporal Markov Random Field model(S-T MRF) for segmentation of spatio-temporal images. This S-T MRF optimizes the segmentation boundaries of occluded vehicles and their motion vectors simultaneously, by referring to textures and segment labeling correlations along the temporal axis, as ... (Update)

Cited by:   More
Illumination-Invariant Tracking via Graph Cuts - Daniel Freedman And   (Correct)

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0.8:   Vehicle Tracking in Low-angle and Front-View Images.. - KAMIJO, IKEUCHI.. (2001)   (Correct)
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BibTeX entry:   (Update)

M. S.Kamijo. "illumination invariant and occlusion robust vehicle tracking by spatio-temporal mrf model. In Proc. 9th World Congress on ITS, 2002. http://citeseer.ist.psu.edu/kamijo02illumination.html   More

@misc{ kamijo02illumination,
  author = "M. Kamijo",
  title = "illumination invariant and occlusion robust vehicle tracking by spatio-temporal
    mrf model",
  text = "M. S.Kamijo. illumination invariant and occlusion robust vehicle tracking
    by spatio-temporal mrf model. In Proc. 9th World Congress on ITS, 2002.",
  year = "2002",
  url = "citeseer.ist.psu.edu/kamijo02illumination.html" }
Citations (may not include all citations):
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548   Stochastic Relaxation, Gibbs Distribution, and the Bayesian .. (context) - Geman, Geman - 1984
33   Markov random field models for unsupervised segmentation of .. (context) - Panjwani, Healey - 1995  ACM   DBLP
19   Robust Tracking of Position and Velocity With Kalman Snakes (context) - Peterfreund - 1999  ACM   DBLP
11   Interactive Model-Based Vehicle Tracking (context) - Gardner, Lawton - 1996  ACM   DBLP
8   Texture Modeling by Multiple Pairwise Pixel Interactions (context) - Gimel'farb - 1996  ACM   DBLP
6   Tra#c Monitoring and Accident Detection at Intersections (context) - Kamijo, Matsushita et al. - 2000
5   Occlusion Robust Vehicle Tracking utilizing Spatio-Temporal .. (context) - Kamijo, Matsushita et al. - 2000
4   Unsupervised Image Segmentation Using Markov Random Field Mo.. - Barker, Rayner - 1997  ACM   DBLP
3   Stereo by Integration of Two Algorithms with/without Occlusi.. (context) - Sugaya, Ohta - 2000  ACM   DBLP
3   Vehicle Tracking in Low-angle and Front-View Images based on.. - Kamijo, Ikeuchi et al. - 2001
3   Unsupervised Segmentation of Markov Radom Field Modeled Text.. (context) - Andrey, Tarroux - 1998
2   Highlight and Shading Invariant Color Image Segmentation (context) - Fieguth, Wesolkowski
1   Automatic Di#erentiation Facilitates OFIntegration into Stee.. (context) - Leuck, Nagel

Documents on the same site (http://www.sak.iis.u-tokyo.ac.jp/~naomi/test/page/):   More
Event Recognitions from Traffic Images Based on.. - KAMIJO, IKEUCHI.. (2001)   (Correct)
Classification of Traffic Events based on the.. - KAMIJO, SAKAUCHI (2002)   (Correct)
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