Fast occluded object tracking by a robust appearance filter.

Hieu T Nguyen; Arnold W M Smeulders

doi:10.1109/tpami.2004.45

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Fast occluded object tracking by a robust appearance filter.

Hieu T Nguyen·Arnold W M Smeulders

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Abstract

We propose a new method for object tracking in image sequences using template matching. To update the template, appearance features are smoothed temporally by robust Kalman filters, one to each pixel. The resistance of the resulting template to partial occlusions enables the accurate detection and handling of more severe occlusions. Abrupt changes of lighting conditions can also be handled, especially when photometric invariant color features are used. The method has only a few parameters and is computationally fast enough to track objects in real time.

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Algorithms Artificial Intelligence Cluster Analysis Computer Graphics Image Enhancement Image Interpretation, Computer-Assisted Information Storage and Retrieval Movement Numerical Analysis, Computer-Assisted Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Subtraction Technique Video Recording Comparative Study Evaluation Study Journal Article

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Hieu T Nguyen, Arnold W M Smeulders. 2004. Fast occluded object tracking by a robust appearance filter.. https://doi.org/10.1109/tpami.2004.45

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