Optoelectronic Technology, Volume. 42, Issue 4, 292(2022)

Design of Automatic Tracking System Based on Binocular Vision

Jing SHENG and Liheng WANG
Author Affiliations
  • School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205,CHN
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    References(6)

    [3] Ren Shaoqing, He Kaiming, Ross Girshick et al. Faster R-CNN: Towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 39, 1137-1149(2015).

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    [6] Mac Huang J B, Yang X et al. Hierarchical convolutional features for visual tracking[C], 2570-2574(2015).

    [7] Nam H, Han B. Learning multi- domain convolution-alneural networks for visual tracking[C], 4293-4302(2016).

    [8] Bertinetto L, Vlmadre J, Henrioues J F et al. Fully-convolutional siamese networks for object tracking[C], 850-865(2016).

    [14] Shang Yuanhang, Wu Gang. Vehicle identification algorithm based on UAV lightweight YOLOV5 snow background[J]. International Core Journal of Engineering, 7, 353-357(2021).

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    Jing SHENG, Liheng WANG. Design of Automatic Tracking System Based on Binocular Vision[J]. Optoelectronic Technology, 2022, 42(4): 292

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    Paper Information

    Category: Research and Trial-manufacture

    Received: Jun. 8, 2022

    Accepted: --

    Published Online: Dec. 23, 2022

    The Author Email:

    DOI:10.19453/j.cnki.1005-488x.2022.04.008

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