Robust Adaptive Patch-Based Object Tracking Using Weighted Vector Median Filters

Authors:
Leandro Dihl;Cláudio Jung;Jose Bins
Affiliations:
-;-;-
Venue:
SIBGRAPI '11 Proceedings of the 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images
Year:
2011

Citing 0
Cited 2

Target Tracking Using Multiple Patches and Weighted Vector Median Filters

Journal of Mathematical Imaging and Vision
Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras

Pattern Recognition Letters

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Abstract

This paper presents a novel patch-based approach for object tracking robust to partial and short-time total occlusions. Initially, the original template is divided into rectangular sub regions (patches), and each patch is tracked independently. The displacement of the whole template is obtained using a weighted vector median filter that combines the displacement of each patch and also a predicted displacement computed based on the previous frames. An updating scheme is also applied to cope with appearance changes of the template. Experimental results indicate that the proposed scheme is robust to partial and short-time total occlusions, presenting a good compromise between accuracy and execution time when compared to other competitive approaches.