• Corpus ID: 1908900

ILLUMINATION INVARIANT AND OCCLUSION ROBUST VEHICLE TRACKING BY SPATIO-TEMPORAL MRF MODEL

@inproceedings{Kamijo2002ILLUMINATIONIA,
  title={ILLUMINATION INVARIANT AND OCCLUSION ROBUST VEHICLE TRACKING BY SPATIO-TEMPORAL MRF MODEL},
  author={Shunsuke Kamijo and Masao Sakauchi},
  year={2002}
}
For many years, vehicle tracking of images has suffered 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… 
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14 Citations
Background Citations
2
Methods Citations
4

14 Citations

Development of an integrated system based vehicle tracking algorithm with shadow removal and occlusion handling methods
TLDR
An algorithm for the individual vehicle tracking collection was developed to address the occlusion problem and to eliminate the noises or shadows caused by external environmental factors and a traffic data collection system was proposed in order to accurately track individual vehicles that pass through the detection region.
An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution
TLDR
Gaussian mixture distribution method is used to eliminate the influence of moving vehicle firstly in this text, and then the background images for vehicle flow are built, combining the advantages of background difference algorithm with inter frame difference operator.
Simultaneous tracking of pedestrians and vehicles by the spatio-temporal Markov random field model
  • S. KamijoM. Sakauchi
  • Engineering
    SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)
  • 2003
TLDR
A precise tracking algorithm based on the spatio-temporal MRF model which is able to track both pedestrians and vehicles simultaneously against occlusions in the images was developed and was proven to be effective for traffic monitoring at urban intersections.
Real time classification and tracking of multiple vehicles in highways
A robust approach for congested vehicles tracking based on Tracking-Model-Detection framework
TLDR
A robust algorithm for congested vehicles tracking based on Tracking-Modeling-Detection (TMD) framework system is proposed and new rectangle region choosing strategy is proposed to select new tracking rectangle regions that contain best feature points when occlusion happens.
Illumination-invariant tracking via graph cuts
  • D. FreedmanM. Turek
  • Computer Science
    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
TLDR
A new tracking algorithm is presented which is insensitive to illumination changes, while at the same time using all of the available photometric information, based on computing an illumination-invariant optical flow field.
A real-time traffic monitoring system by stochastic model combination
  • S. KamijoM. HaradaM. Sakauchi
  • Computer Science
    SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)
  • 2003
TLDR
This system is able to detect various events such as accidents, congestion, stalled vehicles, fallen objects, etc., and also able to record images before and after the events, based on dedicated tracking algorithm called the spatio-temporal MRF model, which is very robust against occlusions and variations in illumination.
Multiple moving object segmentation using motion orientation histogram in adaptively partitioned blocks for high-resolution video surveillance systems
DEVELOPMENT OF THE IMAGE PROCESSING VEHICLE DETECTOR FOR INTERSECTIONS
TLDR
A vehicle tracking algorithm was developed based on the Spatio-Temporal Markov Random Field (S-T MRF) model that enables one camera to measure traffic volume in all directions at intersections, and field test results are described.
Research on Statistical Flow of the Complex Background Based on Image Method
TLDR
A real-time and reliable background subtraction method and the area of the vehicle recognition method based on information fusion algorithm, which is implemented with the MATLAB/GUI development tool in Windows operating system platform and put forward the superiority of video detection technology.
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