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Proceedings Paper

Adaptive homochromous disturbance elimination and feature selection based mean-shift vehicle tracking method
Author(s): Jie Ding; Bo Lei; Pu Hong; Chensheng Wang
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Paper Abstract

This paper introduces a novel method to adaptively diminish the effects of disturbance in the airborne camera shooting traffic video. Based on the moving vector of the tracked vehicle, a search area in the next frame is predicted, which is the area of interest (AOI) to the mean-shift method. Background color estimation is performed according to the previous tracking, which is used to judge whether there is possible disturbance in the predicted search area in the next frame. Without disturbance, the difference image of vehicle and background could be used as input features to the mean-shift algorithm; with disturbance, the histogram of colors in the predict area is calculated to find the most and second disturbing color. Experiments proved this method could diminish or eliminate the effects of homochromous disturbance and lead to more precise and more robust tracking.

Paper Details

Date Published: 29 November 2011
PDF: 12 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 820005 (29 November 2011); doi: 10.1117/12.904669
Show Author Affiliations
Jie Ding, Huazhong Institute of Electro-Optics (China)
Wuhan National Lab. for Optoelectronics (China)
Bo Lei, Huazhong Institute of Electro-Optics (China)
Wuhan National Lab. for Optoelectronics (China)
Pu Hong, Huazhong Institute of Electro-Optics (China)
Wuhan National Lab. for Optoelectronics (China)
Chensheng Wang, Huazhong Institute of Electro-Optics (China)
Wuhan National Lab. for Optoelectronics (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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