A review of statistical data association for motion correspondence
International Journal of Computer Vision
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence - Special volume on computer vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A parallel feature tracker for extended image sequences
Computer Vision and Image Understanding
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
ASSET-2: Real-Time Motion Segmentation and Shape Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
OSCAR: object segmentation using correspondence and relaxation
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Biological and cognitive foundations of intelligent sensor fusion
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A General Framework for Combining Visual Trackers --- The "Black Boxes" Approach
International Journal of Computer Vision
Journal of Mathematical Imaging and Vision
Drift-correcting template update strategy for precision feature point tracking
Image and Vision Computing
A probabilistic framework for combining tracking algorithms
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Multi-Camera Tracking with Adaptive Resource Allocation
International Journal of Computer Vision
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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We present a framework for merging the results of independent feature-based motion trackers using a classification based approach. We demonstrate the efficacy of the framework using corner trackers as an example. The major problem with such systems is generating ground truth data for training. We show how synthetic data can be used effectively to overcome this problem. Our combined system performs better in both dropouts and errors than a correspondence tracker, and had less than half the dropouts at the cost of moderate increase in error compared to a relaxation tracker.