A crowd can be defined as a large gathering of people at a particular place showing different types of attitudes and behaviors. Monitoring and tracking these wide varieties of people is tedious in a real environment. The crowded scenarios have a high tendency to change into an abnormal condition due to sudden external pressures such as gunshots/fire or internal stress such as overcrowding, where things get often uncontrollable and the consequences are disastrous. Moreover, the use of a large number of monitoring cameras and the limited capability of human operators to analyze the video contents result in an urge to developing smart crowd monitoring systems with humanlike capabilities. This article discusses the human cognition capability and its application for smart crowd management. Cognitive computing facilitates complex task automation, real-time decision-making, predictive analytics, and processing of voluminous structured and unstructured data.

中文翻译：

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认知计算在智能人群管理中的应用

人群可以定义为在特定地方表现出不同类型态度和行为的大量人群。在真实环境中监控和跟踪这些种类繁多的人是乏味的。由于突然的外部压力（例如枪声/火灾）或内部压力（例如人满为患），拥挤的场景很容易变成异常状态，事情往往变得无法控制，后果是灾难性的。此外，大量监控摄像头的使用和人类操作员分析视频内容的能力有限，导致迫切需要开发具有人性化能力的智能人群监控系统。本文讨论了人类的认知能力及其在智能人群管理中的应用。认知计算促进复杂的任务自动化，