Volume 9 Number 9 (Sep. 2014)
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JCP 2014 Vol.9(9): 2029-2034 ISSN: 1796-203X
doi: 10.4304/jcp.9.9.2029-2034

A Scale Adaptive Method Based On Quaternion Correlation in Object Tracking

Jie Hu1, Huaxiong Zhang1, Yu Zhang2, Jie Feng1, and Hanjie Ma1
1College of Information, Zhejiang Sci-Tech University, Hangzhou 310018, China
2School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China


Abstract—In this paper, we proposed a scale adaptive Kalman filter algorithm based on quaternion correlation of color image. First, Kalman filter is used to estimate the object motion direction. The correlation of object and the searching window image is calculated to get the accurate position of the object. The scale adaptive method is efficient to the situation of object size changing. In order to reduce the influence of illumination, we proposed to use HSV color space instead of RGB color space. Experiments results showed that the algorithm can detect the object correctly even the size and the color of the object changed.

Index Terms—scale adaptive; quaternion correlation; object tracking

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Cite: Jie Hu, Huaxiong Zhang, Yu Zhang, Jie Feng, and Hanjie Ma, "A Scale Adaptive Method Based On Quaternion Correlation in Object Tracking," Journal of Computers vol. 9, no. 9, pp. 2029-2034, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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