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A Moving Object Detection Algorithm Based on Improved Gaussian Mixture Model

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Huai-zhi Ma

    (Zaozhuang University)

  • Li-na Gong

    (Zaozhuang University)

  • Jin-qian Yu

    (Zaozhuang University)

Abstract

An improved algorithm was proposed to overcome the deficiency in the object detection of intelligent monitoring system. In order to adapt more quickly to the background changes, a global change factor was put forward for the model parameter update rate through the recent time adjacent frame differencing. In the foreground detection stage, in the view of differences between the background disturbance scene and the object-confused scene, two kinds of adaptive detection threshold were introduced which were both composed of weight quadratic sum, and then test result was corrected using short-term variance. Experimental results showed that the algorithm had better adaptability.

Suggested Citation

  • Huai-zhi Ma & Li-na Gong & Jin-qian Yu, 2013. "A Moving Object Detection Algorithm Based on Improved Gaussian Mixture Model," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 399-408, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40063-6_40
    DOI: 10.1007/978-3-642-40063-6_40
    as

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