Method for identifying abnormal motion in video and system thereof

Abstract

The invention discloses a method for identifying abnormal motion in a video. The method comprises the steps that an area of which the pixels have certain change is extracted from a video sequence through a foreground extraction module; a movement target detected by the foreground extraction module is judged through a pedestrian judgment module, and a rectangular box judged to be a pedestrian is kept and transmitted to a target tracking module; each identified target in the scene is continuously tracked in a multi-target way through the target tracking module; the posture of each target tracked by the target tracking module within each frame of time is judged through an abnormal behavior trigger module and behavior analysis is performed on the abnormal behavior; and the abnormal behavior is processed and computed into a video segment through a behavior identification module, and the abnormal behavior is alarmed and the behavior type of the abnormal behavior is identified. The invention also discloses a system for identifying the abnormal motion in the video. The problem that abnormal behavior (falling down) detection of massive video data cannot be performed in real time can be solved and the detection accuracy can be greatly enhanced.

Description

technical field [0001] The invention relates to the field of video monitoring and computer vision, in particular to a method and system for identifying abnormal actions in video. Background technique [0002] With the continuous deepening of my country's population aging, the number and proportion of elderly people has increased dramatically. The health and safety issues of the daily life of the elderly have also become particularly prominent. However, the immaturity of China's old-age care system and industrial development has made the daily home life of China's disabled and semi-disabled empty-nesters face great security risks. The application and popularization of a low-cost real-time and accurate elderly safety monitoring system is an effective way to alleviate the existing problems. [0003] Intelligent video surveillance technology provides great convenience for the remote monitoring of the elderly, enabling children or guardians to pay attention to the home status o...

AI Technical Summary

Problems solved by technology

However, its shortcomings are as follows: (1) For the detected foreground information, the system does not judge whether it is a human target. For other non-human moving objects in the scene, the system regards them as targets for tracking and recognition. Seriously reduces the accuracy of the detection system

(2) It uses a PC as the video processing platform. The video needs to be completely transmitted to the computer for processing, and the amount of data it transmits is huge. In the case of poor channels, there may be channel interference, etc.

[0008] Under the conditions of today's complex background and high-definition video mass data transmission, the above two methods cannot meet the actual requirements in terms of tracking stability or abnormal behavior (fall) detection real-time and accuracy.

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