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基于概率统计自适应背景模型的运动目标检测方法

DOI: 10.11834/jig.20080229

Keywords: 运动检测,自适应背景,概率更新,统计信息

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Abstract:

为了更好地进行运动目标检测,提出了一种基于概率统计的自适应背景模型的运动目标检测方法。该方法能够自适应选择背景和前景阈值,且不需要进行训练,而且在不同的场景下能够自适应进行选择。在此基础上,针对盲目更新和选择更新不足,还采用了像素聚类统计和概率相结合的背景更新模型,因为采用基于像素统计的更新机制能够适应场景中背景的局部改变(移入/移出物体),而采用概率更新则能够降低前景污染背景的程度。实验证明,该方法能够得到可靠的背景,改善了运动检测效果。

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