Computer Science ›› 2017, Vol. 44 ›› Issue (4): 306-311.doi: 10.11896/j.issn.1002-137X.2017.04.062

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Mean Shift Tracking Algorithm Based on Improved LTP Feature Extraction

ZOU Qing-zhi and HUANG Shan   

  • Online:2018-11-13 Published:2018-11-13

Abstract: A mean shift target tracking algorithm based on improved LTP feature and color feature fusion was proposed,which can solve the problem of tracking difficult of algorithm under varying light intensity scene.The rotation invariant is introduced aiming at the problem of LTP model,then the dynamic threshold method is put forward, and then the improved LIP feature and color feature are fused to embed into mean shift algorithm throught adaptive function. Compared with traditional target tracking algorithm in changing light intensity scenario,tracking result of this algorithm is superior to other algorithms,and has good robustness.

Key words: Mean shift algorithm,LTP,Adaptive,Light intensity,Robustness

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