Research Article
An Improvement of the Camshift Human Tracking Algorithm Based on Deep Learning and the Kalman Filter
Table 2
The experimental results of the proposed system and traditional Camshift.
| Condition | Test case | Traditional Camshift [10] | The proposed system | Number of frames | Number of false frames | Accuracy (%) | FPS | Number of frames | Number of false frames | Accuracy (%) | FPS |
| Good lighting room conditions (700 lux) | Multiple people using the same shirts | 352 | 136 | 61.37 | 25 | 352 | 12 | 96.59 | 12 | Multiple people using the different shirts | 405 | 37 | 90.86 | 25 | 405 | 9 | 97.77 | 12 |
| Poor lighting room conditions (100 lux) | Multiple people using the same shirts | 389 | 206 | 47.04 | 25 | 389 | 23 | 94.08 | 12 | Multiple people using the different shirts | 481 | 131 | 72.77 | 25 | 481 | 25 | 94.80 | 11 |
| Outdoor conditions (9522 lux) | Multiple people using the same shirts | 326 | 118 | 63.80 | 25 | 326 | 10 | 96.93 | 12 |
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