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1 WANG Hongyuan,et al:Efficient tracker based on sparse coding with Euclidean local structure-based constraint .145. Table 3 Average Success Rates Video IVT CovTrack 1-tracker NLSSST ELSST1 ELSST2 Sufer 0.0515 0.4770 0.0388 0.4646 0.4667 0.4052 Dudek 0.2011 0.4216 0.6215 0.6528 0.6726 0.6604 Faceocc2 0.4553 0.3918 0.6084 0.4579 0.5747 0.4641 Animal 0.0218 0.2701 0.0336 0.3692 0.4078 0.4117 Girl 0.0228 0.2171 0.4869 0.4853 0.4006 0.4693 Stone 0.0974 0.1114 0.5834 0.4109 0.6611 0.6572 Car 0.0607 0.1858 0.0956 0.3418 0.3278 0.3825 Cup 0.6300 0.3769 0.5598 0.5738 0.5238 0.5637 Face 0.3341 0.2806 0.0479 0.5248 0.5496 0.5827 Juice 0.0743 0.4218 0.5111 0.5299 0.5186 0.5835 Singer 0.3326 0.1361 0.1184 0.5790 0.4781 0.5651 Sunshade 0.0481 0.1803 0.5257 0.5348 0.4743 0.4948 Bike 0.0576 0.3721 0.0451 0.4438 0.3608 0.3917 CarDark 0.0831 0.3087 0.0790 0.0110 0.4208 0.3737 Jumping 0.0577 0.2755 0.0711 0.0847 0.4530 0.4505 The best two results are shown in bold.Our original and improved algorithms are shown in the last two columns,respectively. Table 4 Average Frames per Second Video IVT CovTrack 1-tracker NLSSST ELSSTI ELSST2 Sufer 2.8649 1.5707 0.0358 0.0141 0.0156 2.3469 Dudek 3.3211 1.2454 0.0388 0.0171 0.0179 3.2454 Faceoce2 2.7886 1.1278 0.0180 0.0107 0.0142 3.1278 Animal 1.8979 1.2534 0.0312 0.0150 0.0071 3.2534 Girl 1.6548 1.2209 0.0376 0.0167 0.0098 3.2209 Stone 1.2903 1.8890 0.0271 0.0144 0.0146 4.1138 Car 3.6841 2.8502 0.0621 0.0525 0.0365 6.2253 Cup 7.8175 3.5479 0.0798 0.0677 0.0538 6.3949 Face 6.7422 2.8961 0.0543 0.0417 0.0546 6.1681 Juice 7.0489 3.9297 0.0635 0.0665 0.0586 5.4738 Singer 6.0959 2.8026 0.0195 0.0683 0.0481 6.1891 Sunshade 7.3027 2.7905 0.0713 0.0587 0.0781 6.0601 Bike 6.9747 2.7192 0.0163 0.0320 0.0210 5.8400 CarDark 3.7041 1.3951 0.0226 0.0552 0.0295 2.4221 Jumping 7.3296 2.6080 0.0520 0.0476 0.0579 3.5519 The best two results are shown in bold.Our original and improved algorithms are shown in the last two columns,respectively.Table 3 Average Success Rates Video IVT CovTrack l 1 ⁃tracker NLSSST ELSST1 ELSST2 Sufer 0.051 5 0.477 0 0.038 8 0.464 6 0.466 7 0.405 2 Dudek 0.201 1 0.421 6 0.621 5 0.652 8 0.672 6 0.660 4 Faceocc2 0.455 3 0.391 8 0.608 4 0.457 9 0.574 7 0.464 1 Animal 0.021 8 0.270 1 0.033 6 0.369 2 0.407 8 0.411 7 Girl 0.022 8 0.217 1 0.486 9 0.485 3 0.400 6 0.469 3 Stone 0.097 4 0.111 4 0.583 4 0.410 9 0.661 1 0.657 2 Car 0.060 7 0.185 8 0.095 6 0.341 8 0.327 8 0.382 5 Cup 0.630 0 0.376 9 0.559 8 0.573 8 0.523 8 0.563 7 Face 0.334 1 0.280 6 0.047 9 0.524 8 0.549 6 0.582 7 Juice 0.074 3 0.421 8 0.511 1 0.529 9 0.518 6 0.583 5 Singer 0.332 6 0.136 1 0.118 4 0.579 0 0.478 1 0.565 1 Sunshade 0.048 1 0.180 3 0.525 7 0.534 8 0.474 3 0.494 8 Bike 0.057 6 0.372 1 0.045 1 0.443 8 0.360 8 0.391 7 CarDark 0.083 1 0.308 7 0.079 0 0.011 0 0.420 8 0.373 7 Jumping 0.057 7 0.275 5 0.071 1 0.084 7 0.453 0 0.450 5 The best two results are shown in bold. Our original and improved algorithms are shown in the last two columns, respectively. Table 4 Average Frames per Second Video IVT CovTrack l 1 ⁃tracker NLSSST ELSST1 ELSST2 Sufer 2.864 9 1.570 7 0.035 8 0.014 1 0.015 6 2.346 9 Dudek 3.321 1 1.245 4 0.038 8 0.017 1 0.017 9 3.245 4 Faceocc2 2.788 6 1.127 8 0.018 0 0.010 7 0.014 2 3.127 8 Animal 1.897 9 1.253 4 0.031 2 0.015 0 0.007 1 3.253 4 Girl 1.654 8 1.220 9 0.037 6 0.016 7 0.009 8 3.220 9 Stone 1.290 3 1.889 0 0.027 1 0.014 4 0.014 6 4.113 8 Car 3.684 1 2.850 2 0.062 1 0.052 5 0.036 5 6.225 3 Cup 7.817 5 3.547 9 0.079 8 0.067 7 0.053 8 6.394 9 Face 6.742 2 2.896 1 0.054 3 0.041 7 0.054 6 6.168 1 Juice 7.048 9 3.929 7 0.063 5 0.066 5 0.058 6 5.473 8 Singer 6.095 9 2.802 6 0.019 5 0.068 3 0.048 1 6.189 1 Sunshade 7.302 7 2.790 5 0.071 3 0.058 7 0.078 1 6.060 1 Bike 6.974 7 2.719 2 0.016 3 0.032 0 0.021 0 5.840 0 CarDark 3.704 1 1.395 1 0.022 6 0.055 2 0.029 5 2.422 1 Jumping 7.329 6 2.608 0 0.052 0 0.047 6 0.057 9 3.551 9 The best two results are shown in bold. Our original and improved algorithms are shown in the last two columns, respectively. 第 1 期 WANG Hongyuan, et al: Efficient tracker based on sparse coding with Euclidean local structure⁃based constraint ·145·
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