Object tracking in low-frame-rate video
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIEPublished 14 March 2005
Fatih Porikli, Oncel Tuzel
Citations44
SJR score0.15
SNIP0.20
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Abstract
In this paper, we present an object detection and tracking algorithm for low-frame-rate applications. We extend the standard mean-shift technique such that it is not limited within a single kernel but uses multiple kernels centered around high motion areas obtained by change detection. We also improve the convergence properties of the mean-shift by integrating two additional likelihood terms. Our simulations prove the effectiveness of the proposed method.
Keywords
Computer Science
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