Object Tracking System in Dynamic Scene Based on Improved Camshift Algorithm and Kalman Filter

Chao Bing Liu; Cong Cong Chen; Xiao Li

doi:10.4028/www.scientific.net/AMM.602-605.2061

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Object Tracking System in Dynamic Scene Based on...

Object Tracking System in Dynamic Scene Based on Improved Camshift Algorithm and Kalman Filter

Abstract:

Camshift, namely "Continuously Adaptive Mean-Shift" algorithm, is an adaptive tracking algorithm. This algorithm is based on the color information to track the moving target in image sequence. In the simple background, this algorithm achieved a steady and current tracking effect. But in dynamic scene, the global motion caused by the camera, the background of the light and occlusion will affect the accuracy, or even lose the tracking of the target. In order to solve the above problem, this paper adjust the H component in HSV color space, as well use weighted color histogram to improve the Camshift algorithm, then combined with Kalman filter to track the target in the image sequence. The experimental result shows that this approach can track object stability and correctly in dynamic scene.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2061-2064

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2061

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Online since:

August 2014

Authors:

Chao Bing Liu, Cong Cong Chen, Xiao Li*

Keywords:

Camshift Algorithm, Dynamic Scene, Kalman Filter, Visual Tracking

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* - Corresponding Author

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