Target detection method in Codebook dynamic scene based on superpixels

Abstract

The invention discloses a target detection method in a Codebook dynamic scene based on superpixels. The method is characterized by comprising the following steps that (1) a superpixel partition method is used for partitioning video frames, K superpixels are obtained by partitioning; (2) a Codebook background modeling method is used, a Codebook is established for each superpixel partitioned in the step (1), each Codebook comprises one or more Codewords, each Codeword has the maximin threshold values during learning, the maximin threshold values are detected, background modeling is completed; (3) after background modeling is completed, currently-entering video frames are subjected to target detection, if a certain pixel value of the current frames accords with distribution of the background pixel values, the certain pixel value is marked as the background, otherwise, the certain pixel value is marked as the foreground; finally the current video frames are used for updating the background model. The method solves the problems that a traditional Codebook background modeling algorithm is large in calculated amount and high in memory requirement, and established Codewords are not accurate are solved, target detecting accuracy and speed are improved, the requirement for real-time accuracy is met, and accordingly the requirement for intelligent monitoring in real life is met.

Description

technical field [0001] The invention relates to a data recognition method, in particular to a target detection algorithm. Background technique [0002] The research and application of natural scenes has become a hot topic in the world today. Video surveillance system is an important module in natural scenes. IVS (Intelligent Video Surveillance Systems) uses image sensors as the main equipment in front, and then uses algorithms such as computer vision, image processing, pattern recognition, and machine learning to process videos. The ultimate goal is to Provides traffic data for traffic control and management. Targets are an important part of the monitoring system, so they play an important role in the normal operation of the entire monitoring system. Vision-based target detection is of great significance to IVS, because IVS needs it to provide collected target data. On the one hand, the collected data can be used to optimize monitoring control and daily arrangements, and m...

AI Technical Summary

Problems solved by technology

[0015] The purpose of the present invention is to provide a method for detecting objects in Codebook dynamic scenes based on superpixels with good real-time performance, accuracy and robustness, to solve the problem of large calculation and memory requirements of traditional Codebook background modeling algorithms, and to construct Inaccurate codewords and other issues, improve the accuracy and speed of target detection, so that it can meet the real-time and accurate requirements, so as to meet the needs of intelligent monitoring in real life

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