首页> 外文会议>International Conference on Image Analysis and Recognition(ICIAR 2007); 20070822-24; Montreal(CA) >A Sequential Monte-Carlo and DSmT Based Approach for Conflict Handling in Case of Multiple Targets Tracking
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A Sequential Monte-Carlo and DSmT Based Approach for Conflict Handling in Case of Multiple Targets Tracking

机译:多目标跟踪情况下基于顺序蒙特卡洛和DSmT的冲突处理方法

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摘要

In this paper, we propose an efficient and robust multiple targets tracking method based on particle filtering and Dezert-Smarandache theory. A model of cue combination is designed with plausible and paradoxical reasoning. The proposed model can resolve the conflict and paradoxes that arise between measured cues due to the particle or total occlusion. Experimental results demonstrate the efficiency and accuracy of the model in case of tracking with multiple cues.
机译:在本文中,我们提出了一种基于粒子滤波和Dezert-Smarandache理论的高效,鲁棒的多目标跟踪方法。设计了暗示组合模型,并提出了合理和悖论的推理。所提出的模型可以解决由于粒子或整体闭塞而导致的测量线索之间的冲突和矛盾。实验结果证明了在跟踪多个线索的情况下模型的效率和准确性。

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