Motion vision tracking system based on specific characteristic identification

Abstract

The invention relates to a vision tracking system, in particular to a motion vision tracking system based on specific characteristic identification. The system comprises a control module, an executionmodule and a detection module, the execution module comprises two direct-current motors, a gear transmission module and a pan-tilt, and the detection module comprises a camera and a PC; the control module comprises a control algorithm, based on specific characteristic identification, in the PC and a lower computer control circuit, the camera is connected with the PC, and the PC is connected withthe lower computer control circuit; the lower computer control circuit comprises a serial port communication module, a single chip microcomputer and a motor driving circuit, the single chip microcomputer receives control information of an upper computer through the serial port communication module and controls the direct-current motors through the motor driving circuit, and the direct-current motors control the camera. By adopting the motion vision tracking system based on specific characteristic identification in the technical scheme, a motion image of a target can be accurately detected under the complex environment, and the tracking efficiency and precision are high.

Description

technical field [0001] The invention relates to a visual tracking system, in particular to a motion visual tracking system based on specific feature recognition. Background technique [0002] With the development of computer control technology, motion vision tracking technology has become an important part in the field of computer vision and is widely used in military, medical and industrial fields. Therefore, it is of great application significance to seek a reasonable motion vision tracking method. However, the traditional motion vision tracking method has poor adaptability to complex environments, and has the disadvantages of low control efficiency and poor tracking accuracy. The current motion vision tracking methods all have certain defects. They cannot control the camera independently, and the efficiency of tracking the moving target is low; they cannot perform real-time video tracking on the moving target, which has certain limitations; The tracking efficiency is lo...

AI Technical Summary

Problems solved by technology

However, the traditional motion vision tracking method has poor adaptability to complex environments, and has the disadvantages of low control efficiency and poor tracking accuracy.

The current motion vision tracking methods all have certain defects. They cannot control the camera independently, and the efficiency of tracking the moving target is low; they cannot perform real-time video tracking on the moving target, which has certain limitations; The tracking efficiency is low

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