Research on video target tracking technology based on improved SIFT algorithm

@inproceedings{Zhuang2017ResearchOV,
  title={Research on video target tracking technology based on improved SIFT algorithm},
  author={Zhemin Zhuang and Zhijie Guo and Ye Yuang},
  booktitle={International Conference on Electronics and Information Engineering},
  year={2017}
}
A novel target tracking algorithm based on improved SIFT (Scale Invariant Feature Transform,SIFT) algorithm is proposed in this paper. In order to improve real-time performance, the processing neighborhood of SIFT has been improved to decrease the complexity of calculation, and the dimension of the SIFT vector is set from 128 to 40. Simulations and experiments show this improved algorithm brings us low computation complexity and high tracking accuracy and robustness. 

Topics from this paper.

Similar Papers

Citations

Publications citing this paper.

An improved matching method base on SURF

Shaoqian Ren, Jun Li
  • International Conference on Digital Image Processing
  • 2018

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

A multi-body target tracking algorithm with ultra-wideband radar [J

Liu Jinchao, Xin Qin
  • Journal of Modern Radar,
  • 2015

Study and simulation of target tracker based on the minimum cost flow modeling [J

Xi Zhenghao, Zhao Baoyong, Liu Heping
  • Journal of Engineering Science,
  • 2015
VIEW 1 EXCERPT

Study and simulation of target tracker based on the minimum cost flow modeling [J

Xi Zhenghao, Zhao Baoyong, Liu Heping
  • Journal of Engineering Science,
  • 2015
VIEW 1 EXCERPT

Lowe . Distinctive Image Features from Scale - Invariant Keypoints [ C ]

G. David
  • CamShift Moving Object Tracking Algorithm Based on SIFT Feature Points Matching [ J ] . Computer Science
  • 2014

Study and realization of behavior recognition technology in urban security system [D

Li Ye
  • University of Electronic Science and Technology of China,
  • 2013

Study and realization of behavior recognition technology in urban security system [D

Li Ye
  • University of Electronic Science and Technology of China,
  • 2013

Compressed sensing based target tracking using raw radar measurements

  • 2012 15th International Conference on Information Fusion
  • 2012
VIEW 1 EXCERPT