Moving Object Tracking Algorithm Based on Depth Feature Adaptive Fusion

Rui Yang; Baohua Zhang; Yanyue Zhang; Xiaoqi Lü; Yu Gu; Yueming Wang; Xin Liu; Yan Ren; Jianjun Li

doi:10.3788/LOP57.181501

Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181501(2020)

Moving Object Tracking Algorithm Based on Depth Feature Adaptive Fusion

Rui Yang¹, Baohua Zhang^1、*, Yanyue Zhang¹, Xiaoqi Lü², Yu Gu¹, Yueming Wang¹, Xin Liu¹, Yan Ren¹, and Jianjun Li¹

¹School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 0 14010, China

²College of Information Engineering, Inner Mongolia University of Technology, Hohhot, Inner Mongolia 0 10051, China

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Figures & Tables(6)

Fig. 1. Results of improved SURF algorithm on different images. (a) 67^th frame and 68^th frame; (b) 60^th frame and 65^th frame image

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Fig. 2. Flow chart of proposed algorithm

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Fig. 3. Performance comparison of different algorithms. (a) DSF; (b) proposed algorithm

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Fig. 4. Experimental results of different sequences in OTB-2015 data set. (a) Jogging-1; (b) Jogging-2; (c) Code; (d) Walking2; (e) David3; (f) Basketball

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Fig. 5. Accuracy and success rate of image sequences. (a) Accuracy curves; (b) success rate curves

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Table 1. Comparison of tracking speed
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Table 1. Comparison of tracking speed
Algorithm MS TLD Struck DFT MTT MIL CT ASLA Proposed
Speed /(frame·s^-1) 607 22 23 11 1 27 26 7 17

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Rui Yang, Baohua Zhang, Yanyue Zhang, Xiaoqi Lü, Yu Gu, Yueming Wang, Xin Liu, Yan Ren, Jianjun Li. Moving Object Tracking Algorithm Based on Depth Feature Adaptive Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181501

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