Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221507(2020)
Template-Updating Algorithm Based on Optical Flow Mapping in Object Tracking
Fig. 1. Schematic of proposed tracking algorithm framework
Fig. 2. Results of ablation experiments on OTB100 dataset. (a) Success rate; (b) precision
Fig. 3. Subjective and objective (average precision) results of ablation experiments in Coke sequence
Fig. 4. Subjective and objective (average precision) results of ablation experiments in Dudek sequence
Fig. 5. Subjective and objective (average precision) results of ablation experiments in Doll sequence
Fig. 6. Experimental results of different algorithms on OTB100 dataset. (a) Success rate; (b) precision
Fig. 7. Comparison results of different algorithms when target moves rapidly on OTB100 dataset. (a) Success rate; (b) precision
Fig. 8. Subjective and objective (average precision) results of each algorithm in Coke sequence
Fig. 9. Subjective and objective (average precision) results of each algorithm in Dudek sequence
Fig. 10. Subjective and objective (average precision) results of each algorithm in Doll sequence
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Jing Zhang, Zhihui Hao, Jing Liu. Template-Updating Algorithm Based on Optical Flow Mapping in Object Tracking[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221507
Category: Machine Vision
Received: Mar. 6, 2020
Accepted: Apr. 30, 2020
Published Online: Nov. 12, 2020
The Author Email: Liu Jing (jliu_tju@tju.edu.cn)