Research and Implementation of Robot Vision Scanning Tracking Algorithm Based on Deep Learning.

Journal: Scanning
Published Date: Jul 26, 2022

Abstract

In order to solve the difficult problem of deep learning-based robot vision tracking algorithm research and implementation, a deep learning-based target tracking algorithm and a classical tracking algorithm were proposed. It mainly uses the combination of traditional TLD algorithm and GOTURN algorithm to benefit from a large number of offline training data and updates the learner online, so that the whole system has better performance in real-time and accuracy. The results show that the performance of the TLD algorithm is poor regardless of the accuracy curve or the accuracy curve, and the performance of GOTURN-LD is significantly improved when the illumination changes. In the face of occlusion problem, the TLD algorithm shows strong robustness. Although GOTURN-LD is not very stable, its performance is better than GOTURN on the whole.

Authors

  • Haifeng Guo
    College of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning 117004, China.
  • Wenyi Li
    Department of Orthopedics, Hebei General Hospital, No. 348 Hepingxi Road, Shijiazhuang, Hebei, China.
  • Na Zhou
    Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
  • He Sun
    College of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning 117004, China.
  • Zhao Han
    College of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning 117004, China.

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