Research Article
Robust Object Tracking Based on Simplified Codebook Masked Camshift Algorithm
Table 1
Comparison of tracking results for different tracking algorithms.
| Objects in videos |
First frame of object shows |
Frame number of object shows | Number of correct tracking frames | Original Camshift [11] | TLD [29] | CT [28] | Proposed SCMC |
| Red car in Video #3 | 65 | 89 | 6 | 89 | 58 | 89 | Black car in Video #3 | 193 | 151 | 13 | 151 | 151 | 151 | White car in Video #3 | 403 | 61 | 0 | 61 | 53 | 61 | Crimson car in Video #4 | 47 | 98 | 17 | 25 | 61 | 98 | Black car 1 in Video #4 | 69 | 113 | 67 | 34 | 61 | 113 | White car 1 in Video #4 | 97 | 113 | 53 | 55 | 10 | 53 | Gray car in Video #4 | 139 | 30 | 27 | 30 | 30 | 16 | White car 2 in Video #4 | 162 | 30 | 17 | 1 | 30 | 30 | Black car 2 in Video #4 | 192 | 37 | 37 | 31 | 37 | 37 | Red car in Video #4 | 285 | 79 | 7 | 0 | 79 | 79 | Black car in Video #5 | 36 | 20 | 20 | 20 | 13 | 20 | Gray car in Video #5 | 106 | 26 | 26 | 26 | 18 | 26 | Red car in Video #5 | 133 | 25 | 22 | 22 | 22 | 25 | Blue car in Video #5 | 420 | 29 | 29 | 28 | 29 | 29 |
| Number of total frames (901) | 341 | 573 | 652 | 827 | Correct tracking rate | 37.8% | 63.6% | 72.4% | 91.8% |
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