| Autor: |
Andrew M. Wallace, Claire Morand, Warakorn Gulyanon, Neil Robertson |
| Rok vydání: |
2011 |
| Předmět: |
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| Zdroj: |
ICDP |
| Popis: |
This paper presents a new real-time active visual tracker which improves standard mean shift tracking by using level sets to extract contours from the target. We use colour and the disparity map computed from a stereo camera pair which prove to be powerful features for tracking in an indoor surveillance scenario. To combine the features in the level sets process, we enhance Chen's et al appearance model of [5] by using a probabilistic model determined via Expectation-Maximization (EM) clustering. The level set result is used as the weighting kernel which improves the accuracy of the similarity measurement in the mean shift method. Finally a Kalman filter deals with complete occlusions. (6 pages) |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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