| 基于图像分割以及原目标检测的视觉跟踪 |
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| 作者单位： | ;1.南京航空航天大学自动化学院;2.洛阳电光设备研究所光电控制技术重点实验室 |
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| 摘 要： | 基于图像分割以及原目标检测的视觉跟踪是一种极具潜力的跟踪方法,该方法首先对视频中的图像序列用多种分割方法进行图像分割;然后基于概率潜在语义分析(PLSA)算法对分割区域进行类别估计;再从这些区域中筛选出各自的候选区域,对其进行选择性结合,提取出原目标,从而获得原目标的空间信息.最后基于原目标的空间信息,用贝叶斯算法对目标进行跟踪,并采用EM算法来优化跟踪算法.实验证明,该方法优于其他的跟踪方法,能鲁棒地处理遮挡,分散和光照变化等问题.
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| 关 键 词： | 原目标 多种分割 PLSA模型 EM算法 |
Visual tracking based on image segmentation and proto- object detection |
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| Institution: | ,College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Luoyang Institute of Electro - optical Devices,Key Laboratory of Photoelectric Control Technology |
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| Abstract: | Visual tracking based on image segmentation and proto- object detection is a potential tracking approach. Firstly,it gives an image sequence based on multiple segmentations,and uses PLSA to classify each segment region; then it obtains the final proto- objects based on selecting the candidate regions from these segment regions for a selective combination. Finally,the target is tracked with the Bayesian approach based on the spatial information of the proto- objects from the previously obtained proto- objects. It uses the EM algorithm to optimize the tracking method. Experimental results demonstrate that the proposed approach achieves good performance which can robustly deal with occlusion,distraction as well as illumination variation. |
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| Keywords: | proto-objects multi-segmentation PLSA model EM algorithm |
| 本文献已被 CNKI 等数据库收录！ |
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