Target detection system and method based on covariance and binary-tree support vector machine

Abstract

The invention discloses target detection system and method based on covariance and a binary-tree support vector machine. The system comprises a video data collecting unit, an image preprocessing unit and a background modeling vehicle partitioning and displaying unit. The video data collecting unit is used for acquiring information in real time and carrying out digitization and system conversion on analog videos. The image preprocessing unit comprises an FPGA (Field Programmable Gate Array) and a DSP (Digital Signal Processor), wherein the FPGA is used as a coprocessor; and the DSP is used as a main processor to accomplish the background modeling of video images, the partitioning and the extraction of vehicle targets and the realization of a model identification algorithm. Utilizing the combination of the FPGA and the DSP, the invention can realize multi-video real-time model identification through combining with the model identification algorithm based on the covariance features of the images and the support vector machine. The invention can be widely used for a plurality of fields of intelligent traffic management, intelligent video monitoring and the like.

Description

technical field [0001] The invention belongs to the cross-technical fields of video image processing, pattern recognition and intelligent transportation, in particular, a target detection system and method based on covariance and binary tree support vector machines. Background technique [0002] With the rapid development of my country's national economy, urban traffic problems are becoming more and more serious. In order to solve various problems caused by the rapid development of urban ground transportation, the research on intelligent transportation system (Intelligent Transportation System, referred to as ITS) has been mentioned in an important position. The main goal of the intelligent transportation system is to make the functions of cars and roads intelligent, so as to ensure traffic safety, improve traffic efficiency, improve the urban environment, and reduce energy consumption. Among them, vehicle detection / vehicle identification is of great significance to the real...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the invention is to avoid the high computational complexity of the algorithm based on 3D vehicle identification, overcome the problem of low accuracy rate of vehicle identification based on the 2D vehicle identification algorithm, and the communication cost between the camera and the PC when the PC is used to process data. Large, and the real-time processing is not strong and the network application is inconvenient.

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