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Research on learning progress tracking of multimedia port user based on improved CamShift algorithm

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Abstract

Aiming at the shortcomings of the existing methods which lead to low tracking accuracy, poor real-time performance and low tracking success rate, this paper proposes a method for learning progress tracking of multimedia port user based on improved CamShift algorithm. The infrared image is processed by multimedia technology, and the binary image is obtained. The initial pupil center position is obtained in the image. Finally, the eye tracking algorithm based on improved CamShift is used to further track the initial pupil center, and the learning progress tracking of multimedia port user is realized. The experimental results show that the average time consumed by the proposed method is 0.0065 s and the average number of iterations is 1.5. The real-time performance of the proposed method is the best, and the success rate of eye tracking is more than 80%. The overall performance of the proposed method is good.

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Acknowledgments

This work is supported by Project of Jilin Development and Reform Commission (NO.2018C036-3).

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Authors and Affiliations

  1. School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun, 130012, China

    Hao-peng Sun

  2. College of Civil Engineering, Hunan City University, Yiyang, 413000, Hunan, China

    Xiaolong Wen

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  1. Hao-peng Sun
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  2. Xiaolong Wen
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Correspondence to Xiaolong Wen.

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Sun, Hp., Wen, X. Research on learning progress tracking of multimedia port user based on improved CamShift algorithm. Multimed Tools Appl 80, 22719–22732 (2021). https://doi.org/10.1007/s11042-019-07761-4

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  • DOI: https://doi.org/10.1007/s11042-019-07761-4

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