随后在此公式基础上提出基于路段密度差模型的快速路异常事件检测算法，设计了异常事件判断的逻辑流程。
Then the incident detection algorithm of urban expressway based on the proposed segment density difference model is proposed, and the logic determining incidents procedure is also provided.
还给出了利用轨迹分布模式检测出局部可能的异常现象、检测整个运动轨迹所表示的事件是否为异常事件和目标行为预测的方法。
In this way, the trajectory distribution patterns can be learned. Using the learned patterns, the authors consider both local and global anomaly detection as well as object behavior prediction.
对监控视频中的逆行异常事件进行检测，便于管理人员及时对可疑事件做出处理。
It will be very convenient and effective for administers to handle urgent suspicious events if the surveillance system can automatically detect abnormal video events.
该方法获取正常事件的内部特征的相互关系模式，并将该模式作为轮廓检测异常事件。
The method captured the normal traffic's inter-feature correlation pattern which could be used as normal profiles to detect anomalies caused by attacks.
该方法获取正常事件的内部特征的相互关系模式，并将该模式作为轮廓检测异常事件。
The method captured the normal traffic's inter-feature correlation pattern which could be used as normal profiles to detect anomalies caused by attacks.
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