Rapid behavior identification method and system

Abstract

The invention relates to a rapid behavior identification method and system. According to the method, during the training process, a feature extraction algorithm with low computation complexity is used and dimensionality reduction and normalization are carried out on an obtained feature matrix by using various dimensionality reduction ways, thereby reducing the processing time. During the identification process, a captured video is processed by using an algorithm identical with that applied to the training process; and then the processed video is placed into a model obtained by training to carry out detection and identification. In addition, the system is composed of a video acquisition module, an off-line learning module, a behavior identification module, a multi-thread processing module and a video display module. With a sliding window mechanism, a video captured in real time is processed into a plurality of video clips; and each video clip is processed during behavior identification to guarantee real-time updating of an identification result. Meanwhile, multi-thread processing is carried out on the feature extraction and feature coding process with high computation complexity to guarantee the real-time property of processing identification, so that behaviors occurring in the video can be identified and display visually, rapidly and accurately. The operation is convenient and convenient extension can be realized.

Description

Technical field [0001] The invention belongs to the technical fields of computer vision, machine learning and intelligent monitoring, and relates to a method and system for rapid behavior recognition. Background technique [0002] With the rapid popularization and development of video capture equipment and broadband networks, video has become the main carrier of information, and the amount of video data has shown explosive growth. Compared with the vigorous development of video equipment, the current video content identification and analysis methods in various video processing solutions are relatively lagging behind. Most of the solutions still use human management methods, and the existing video surveillance systems usually only record Video images can only be used for forensics after the fact, without giving full play to the real-time and initiative of video surveillance. [0003] At the same time, due to the huge amount of video information, management personnel cannot make rea...

AI Technical Summary

Problems solved by technology

[0009] In view of this, the purpose of the present invention is to provide a method that can quickly identify the behaviors that appear in the video and a behavior recognition system based on the method. The method and system can overcome the existing behavior recognition algorithms and system calculations. The time and space complexity is high, and the problem of identifying behaviors and actions appearing in the video cannot be quickly completed

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