Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Segmentation by Data-Driven Markov Chain Monte Carlo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour and Texture Analysis for Image Segmentation
International Journal of Computer Vision
Computer Vision
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Image Parsing: Unifying Segmentation, Detection, and Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Combining neural networks and clustering techniques for object recognition in indoor video sequences
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
A probabilistic integrated object recognition and tracking framework
Expert Systems with Applications: An International Journal
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This paper describes a methodology that integrates recognition and segmentation, simultaneously with image tracking in a cooperative manner, for recognition of objects (or parts of them) in image sequences. A probabilistic general approach at pixel level is depicted together with a practical heuristic simplification in which pixels' class probabilities are approximated by a finite small set of class possibility values. These possibility values are updated iteratively along the image sequence for each class and each pixel taking into account both the prior tracking information and the spot-based object recognition results provided by a trained neural network. A further segmentation of the class possibility images allows the tracking of each object of interest in the sequence. The good experimental results obtained so far show the viability of the approach under certain conditions.