Computer Science ›› 2017, Vol. 44 ›› Issue (12): 304-309.doi: 10.11896/j.issn.1002-137X.2017.12.055

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Mixed Gaussian Target Detection Algorithm Based on Entropy and Related Close Degree

LI Rui and SHENG Chao   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Aiming at that the background modeling of the hybrid gaussian model with fixed model number is slow and the detected moving targets have following contour when they move,an imprvoed moving object detection method based on mixture gaussian model with Tsallis entropy and related close degree was proposed.The improved algorithm automatically chooses model numbers to accelerate the background modeling.For model matching judgment condition cannot reflect spatial correlation of adjacent pixels, this paper proposed the conception of related close degree as another qualification condition to remove following contour.The experimental results show the improved algorithm greatly improves in real-time and detection accuracy.

Key words: Gaussian mixture model,Tsallis entropy,Related close degree,Following contour

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