Evaluate the Gray Code in Distributed Fields for Tracking

Xianyun Wu; Kai Liu; Jinyan Cao; Yunsong Li; Li Wang

Evaluate the Gray Code in Distributed Fields for Tracking

원문정보

Xianyun Wu, Kai Liu, Jinyan Cao, Yunsong Li, Li Wang

보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.11 2016.11 pp.37-44

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초록

영어

Distribution Fields (DFs) for tracking achieved a better performance than traditional algorithms due to its special representation that allows smoothing the objective function without destroying information about pixel values. DFs descriptor can satisfy both the specificity and smooth landscape requirements of a good tracking algorithm. In this paper, we evaluate the Gray code in original DFs algorithm by replacing the pixel values using Gray code instead of original binary code. Experimental results show that the Gray code can improve the tracking efficiency in certain way.

Abstract
1. Introduction
2. Description of Distribution Fields
  2.1. Representation
  2.2. Construction
  2.3. Comparison
  2.4. Combination
3. Gray Code in Distributed Fields for Tracking
4. Gray Code in Distribution Fields for Tracking
  4.1. Proposed Descriptor
  4.2. Experimental Results
  4.3. Result Analysis
5. Conclusion
References

키워드

Distribution Fields (DFs) tracking Gray code

저자정보

Xianyun Wu State Key Lab. of Integrated Service Networks, Xidian University, Xi'an, China / School of Computer Science and Technology, Xidian University, Xi'an, China
Kai Liu State Key Lab. of Integrated Service Networks, Xidian University, Xi'an, China / School of Computer Science and Technology, Xidian University, Xi'an, China
Jinyan Cao State Key Lab. of Integrated Service Networks, Xidian University, Xi'an, China
Yunsong Li State Key Lab. of Integrated Service Networks, Xidian University, Xi'an, China
Li Wang

참고문헌

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