Laser & Optoelectronics Progress, Volume. 56, Issue 22, 221503(2019)
Foreground-Aware Based Spatiotemporal Correlation Filter Tracking Algorithm
Fig. 1. Temporal consistency constraints with object area selection function explained by sequence Tiger
Fig. 2. Take one-dimensional vector as example, assuming length of target is D=3. Left side is one-dimensional signal xi with L=5. xi[Δτj] image is result of all cyclic shifts. Five one-dimensional vectors with length of 3 can be obtained by multiplying mask matrix P on this image, where first 3 rows are real positive samples with same size of object
Fig. 3. Comparison of training samples between traditional correlation filters and proposed method. (a) Cyclic-shift training samples of traditional correlation filter; (b) training samples of foreground-aware correlation filter
Fig. 4. Relationship between IoU value and tracking confidence score for carRace and ball sequences without re-detector. (a) Relationship between IoU value of carRace and tracking confidence score; (b) 502nd-frame tracking result of carRace; (c) 510th-frame tracking result of carRace; (d) relationship between IoU of ball and tracking confidence score; (e) 209th-frame tracking result of ball; (f) 211st-frame tracking result of ball
Fig. 5. Plots of OPE and success rate of trackers with traditional features on OTB-2013 dataset. (a) Plots of OPE; (b) plots of success rate
Fig. 6. Plots of OPE and success rate of trackers with convolutional features on OTB-2013 dataset. (a) Plots of OPE; (b) plots of success rate
Fig. 7. Comparison of tracking results of SiamFC, CCOT, DSST, KCF, ECO, CF2, and proposed algorithm on 8 challenging sequences from OTB-2015 dataset. From top to bottom: singer2, girl2, tiger, bird1, dragonbaby, motorrolling, skiing, and soccer
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Yueyang Yu, Zelin Shi, Yunpeng Liu. Foreground-Aware Based Spatiotemporal Correlation Filter Tracking Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(22): 221503
Category: Machine Vision
Received: Apr. 1, 2019
Accepted: May. 17, 2019
Published Online: Nov. 2, 2019
The Author Email: Yu Yueyang (yuyueyang@sia.cn)