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A Sequential Monte-Carlo and DSmT Based Approach for Conflict Handling in Case of Multiple Targets Tracking

机译:多个目标跟踪情况下的冲突处理的顺序蒙特卡罗和DSMT方法

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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理论的高效且鲁棒的多目标跟踪方法。模型组合模型采用可粘性和矛盾的推理设计。所提出的模型可以解决由于颗粒或总闭塞而在测量的提示之间产生的冲突和悖论。实验结果表明,在用多个线索跟踪的情况下模型的效率和准确性。

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