Jiawei Shi
ABSTRACT
To realize human tracking, a framework by TLD tracking algorithm and dynamic average background modeling is shown in this paper. First, totally automatically human initiation module is given by background modeling algorithm and classification, which output candidate and confirmed human patches. Then TLD framework is employed to track each object until it disappear. Both of the output of tracking and initializer are used together to decide how to further update the tracking list. Experiments results on PETS show the performance of our solution.
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Index Terms
- Human tracking using TLD with Automatic Initiation
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