Abnormal behavior detection system and method by utilizing automatic multi-feature clustering method

Abstract

The invention provides an abnormal behavior detection system and a method by utilizing an automatic multi-feature clustering method; combine a feature group according to the obtained features of all monitoring data, for instance, multiple features are captured from a monitoring video; then build a normal behavior model and an abnormal behavior model after processing and analysis by a machine learning algorithm, and in one embodiment, the behaviors with low occurrence frequency are considered as the abnormal behavior. In the invention, supervised learning can also be adopted, the abnormal behavior model in the behavior models generated by automatic classification is defined artificially, so as to causing the abnormal behavior detection to be in accordance with the requirements of a user; and automatically classify into normal behaviors and abnormal behaviors according to the various captured features after the behavior model is built. In the invention, the system and the method are suitable for detecting various traffic abnormal behaviors such as traffic violation behaviors, for instance, running the red light, violation of right-lane driving and violation of right direction driving.

Description

technical field [0001] The present invention relates to an abnormal behavior automatic detection system and method using a multi-feature automatic clustering method, in particular to a method for detecting traffic abnormal behavior using an image analysis method. Background technique [0002] Abnormal behavior refers to irregular or rare behavior. The purpose of abnormal behavior detection is to detect objects such as people or vehicles, whether irregular or rare behavior occurs, such as pedestrians crossing the road illegally or vehicles violating traffic rules. Abnormal behavior detection is one of the main topics of current automatic video data retrieval and content analysis. It is used for abnormal intrusion detection, home elderly safety monitoring, neighborhood alley safety monitoring, etc. [0003] In the current known technologies, abnormal behavior detection mostly uses a single characteristic feature as the basis for identifying whether it is an abnormal behavior. ...

AI Technical Summary

Problems solved by technology

This detection method requires construction and excavation to bury the coil, which is time-consuming and expensive to maintain

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