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视频监控中的运动目标跟踪算法 被引量:16

Moving Target Tracking Algorithm in Video Surveillance
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摘要 研究复杂背景下多目标跟踪问题.首先阐述了蒙特卡罗粒子滤波器基本理论;然后给出序列图像多目标跟踪系统的状态方程、观测方程、背景模型、重采样方法以及目标跟踪中的一些特殊情况的处理方法.该算法有效解决了目标跟踪算法中的新目标出现、老目标消失、目标遮挡和蒙特卡罗粒子滤波器实时性差等问题.实验结果证明,该算法对固定摄像机复杂背景下多目标跟踪是快速且有效的. The algorithm of multi-targets tracking is discussed. The basic theory of Monte Carlo is explained. State equation, observation equation, background model, resampling method of the multi-targets tracking system are given. The algorithm resolves some problems in multi-targets tracking such as new target entry, target exit, target occlusion and the computational complexity of Monte Carlo method. Experimental results show that the presented method is fast and effective.
出处 《控制与决策》 EI CSCD 北大核心 2005年第12期1388-1391,1396,共5页 Control and Decision
基金 国家863计划项目(2001AA422270)
关键词 序列图像 多目标跟踪 蒙特卡罗法 粒子滤波器 遮挡 重采样 sequential image multi-targets tracking Monte Carlo particle filter occlusion resampling
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参考文献10

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