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Tracking a partially occluded target with a cluster of Kalman filters

✍ Scribed by Dae-Sik Jang; Seok-Woo Jang; Hyung-II Choi

Publisher: John Wiley and Sons
Year: 2002
Tongue: English
Weight: 235 KB
Volume: 17
Category: Article
ISSN: 0884-8173
DOI: 10.1002/int.10040

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✦ Synopsis

Tracking moving objects is one of the most important techniques in motion analysis and understanding, and it has many difficult problems to solve. Estimating and identifying moving objects, when the background and moving objects vary dynamically, are especially difficult. It is possible under such a complex environment that targets might disappear totally or partially due to occlusion by other objects. The Kalman filter has been used to estimate motion information and use the information in predicting the appearance of targets in succeeding frames. In this article, we propose another version of the Kalman filter, to be called the structural Kalman filter, which can successfully accomplish its role of estimating motion information under such a deteriorating condition as occlusion. Experimental results show that the suggested approach is very effective in estimating and tracking non-rigid moving objects reliably.

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