Hui Jin, Xinyang Li. Residual Network Feature Fusion Tracking Algorithm Based on Graph Salience Detection[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181025
- Laser & Optoelectronics Progress
- Vol. 57, Issue 18, 181025 (2020)
Fig. 1. Steps of target location
Fig. 2. Original image and GBVS image. (a) Original image; (b) GBVS image
Fig. 3. Improved flow chart based on GBVS
Fig. 4. Average center error of the improved algorithm based on GBVS
Fig. 5. Tracking effect of the algorithm. (a) Before improvement; (b) after improvement
Fig. 6. Tracking accuracy of different algorithms on the OTB50 data set. (a) Total accuracy; (b) fast movement; (c) motion blur; (d) low resolution; (e) occlusion; (f) different scales
Fig. 7. Tracking results of different algorithms in the OTB dataset
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Table 1. Comparison of average center error based on GBVS improved algorithm
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Table 2. Average central error of different algorithms
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