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Integrated multiple behavior models for abnormal crowd behavior detection

机译:集成的多种行为模型,用于异常人群行为检测

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摘要

We propose a method to detect abnormal crowd behavior using integrated multiple behavior models. Traditional abnormal detection methods are based only on personal behavior models. However, a single behavior model cannot accurately reflect complex crowd behavior. To solve this problem, we introduce an integrated multiple behavior model for accurate abnormal behavior detection in a complex crowd scene. We use not only the personal behavior model, but also multiple social behavior models. The experimental results show that our proposed method efficiently detects the abnormal behavior in a crowded scene.
机译:我们提出了一种使用集成的多个行为模型来检测异常人群行为的方法。传统的异常检测方法仅基于个人行为模型。但是,单个行为模型无法准确反映复杂的人群行为。为了解决这个问题,我们引入了集成的多行为模型,用于在复杂的人群场景中进行准确的异常行为检测。我们不仅使用个人行为模型,还使用多种社会行为模型。实验结果表明,本文提出的方法能够有效地检测出拥挤场景中的异常行为。

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