Fig. 1. Siamese network architecture

Fig. 2. Framework of proposed algorithm

Fig. 3. Multi-scale sampling construction pyramid

Fig. 4. Part of the experiment tracking sequences

Fig. 5. Comparison of tracking results of 10 algorithm. (a) Jumping (MB、FM); (b) CarScale (SV、OCC、FM、IPR、OPR); (c) Couple (SV、DEF、FM、BC、OPR); (d) Soccer (IV、SV、OCC、MB、FM、IPR、OPR、BC); (e) Ironman (IV、SV、OCC、MB、FM、IPR、OPR、OV、BC、LR); (f) Girl (SV、OCC、IPR、OPR); (g)Skiing (IV、SV、DEF、IPR、OPR); (h) Liquor (IV、SV、OCC、FM、IPR、OPR、OV、BC); (i) Woman (IV、SV、OCC、DEF、MB、FM、OPR)

Fig. 6. Precision and success rate of 50 sequences. (a) Precision; (b) success rate

Fig. 7. Precision and success rate on FM and SV attributes. (a) Precision on FM attribute; (b) success rate on FM attribute; (c) precision plot on SV attribute; (d) success rate on SV attribute

Fig. 8. Tracking precision and success rate on (a)(b) IV, (c)(d) OCC, (e)(f) LR, (g)(h) DEF, (i)(j) BC, and (k)(l) OV attributes

Table 1. Architecture of CNN of proposed algorithm

Table 2. Tracking speed comparison of proposed algorithm and other algorithms