Vehicle recognition and tracking method, system and device based on ARM and FPGA

Abstract

The invention discloses a vehicle identification tracking method, system and device based on ARM and FPGA. The method comprises the following steps: a video acquisition module collects video data of aroad vehicle and sends the video data to an ARM module for preprocessing to generate two-channel code stream information; the FPGA module collects one bit stream information for image analysis, obtains the vehicle information and the frame diagram of the vehicle size in each frame image, and sends it to the ARM module for superimposing with the other bit stream information, and then carries on the compression coding. The invention utilizes the advantages of compression coding of ARM processing video data and network transmission and recognition calculation of a large number of video image data by the FPGA to achieve rapid identification of vehicles tracking, the recognition speed and accuracy is high, and large server back-end equipment is not needed, thus greatly reducing the complexityand cost of intelligent transportation construction. The vehicle identification and tracking method, system and device based on ARM and FPGA can be widely applied in the field of data processing.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a vehicle identification and tracking method, system and device based on ARM and FPGA. Background technique [0002] With the rapid development of my country's transportation industry, the number of cars in cities has increased year by year, urban road congestion, frequent traffic accidents, and vehicle violations have occurred. The emergence of intelligent vehicle identification counting and tracking equipment is very urgent. At present, intelligent recognition capable of processing a large number of video images generally requires a professional server, and the cost of using a professional server is expensive and the implementation method is complicated. Or adopt the scheme of ARM plus DSP, but the time for DSP to process data is relatively slow and the amount of data processed is relatively very limited. It greatly limits intelligent vehicle identification and it is difficult ...

AI Technical Summary

Problems solved by technology

At present, the intelligent recognition capable of processing a large number of video images in the market generally requires a professional server, and the cost of using a professional server is extremely expensive and the implementation method is complicated.

Or use the ARM plus DSP solution, but the DSP data processing time is relatively slow and relatively speaking, the amount of data processed is very limited

It greatly limits intelligent vehicle recognition and it is difficult to accurately track vehicle information

A single FPGA system can intelligently recognize video images, but it is difficult to compress, encode and transmit data, so this system solution cannot be applied to actual engineering projects

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