| Probabilistic Tracking of Objects with Adaptive Cue Fusion Mechanism |
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| 作者姓名： | 张波 田蔚风 金志华 |
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| 作者单位： | Dept. of Instrument Science ＆ Eng. , Shanghai Jiaotong Univ. , Shanghai 200030, China |
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| 摘 要： | A tracking method based on adaptive multiple cue fusion mechanism was presented,where particle filter is used to integrate color and edge cues.The fusion mechanism assigns different weights to two cues according to their importance,thus improving the robustness and reliability of the tracking algorithm.Moreover,a multi-part color model is also invoked to deal with the confliction among similar objects.The experimental results on two real image sequences show the tracking algorithm with adaptive fusion mechanism performs well in the presence of complex scenarios such as head rotation,scale change and multiple person occlusions.
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| 关 键 词： | 彩色模型 粒子滤波器 暗示融合机制 追踪运算方法 |
| 文章编号： | 1007-1172（2007）02-0185-05 |
| 修稿时间： | 2005-10-24 |
Probabilistic Tracking of Objects with Adaptive Cue Fusion Mechanism |
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| ZHANG Bo,TIAN Wei-feng,JIN Zhi-hua.Probabilistic Tracking of Objects with Adaptive Cue Fusion Mechanism[J].Journal of Shanghai Jiaotong university,2007,12(2):185-189. |
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| Authors: | ZHANG Bo TIAN Wei-feng JIN Zhi-hua |
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| Abstract: | A tracking method based on adaptive multiple cue fusion mechanism was presented,where particle filter is used to integrate color and edge cues.The fusion mechanism assigns different weights to two cues according to their importance,thus improving the robustness and reliability of the tracking algorithm.Moreover,a multi-part color model is also invoked to deal with the confliction among similar objects.The experimental results on two real image sequences show the tracking algorithm with adaptive fusion mechanism performs well in the presence of complex scenarios such as head rotation,scale change and multiple person occlusions. |
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| Keywords: | multiple cue fusion particle filter multi-part color model |
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