一种低失真衰减的智能网络视频监控识别系统

An Intelligent Network Video Monitoring and Recognition System with Low Distortion Attenuation

基于音视频处理的图像传输和通信算法设计是实现网络视频监控和智能识别的基础,传统的网络视频监控识别系统因视频图像的传输过程中的时延敏感编码,导致失真衰减,视频识别性能不好。提出并设计了一种基于MPEG-4的网络视频监控及智能识别系统,用MUX101程控开关控制MPEG-4中的AD8021芯片进行反馈电阻控制实现视频放大,选用程控放大器VCA810,由DSP控制其控制电压达到调整放大倍数的目的,实现准确地采集网络视频数据。将RGB分量转化成亮度分量和色差分量,在使用RLE行程编码和Huffman编码来完成压缩任务,进行视频通信传输中的智能识别和监控,采用串并联复合式宽带阻抗匹配网络控制方法,提高数据采集系统的灵敏度和稳定性,抑制失真衰减,提高视频监控中对敏感特征的识别能力。系统测试结果表明,采用该系统进行网络视频智能监控识别,对敏感特征的检测的性能较好,能有效抑制失真衰减,提高对网络视频的识别精度。

Image transmission and communication algorithm design of audio and video processing is base of video monitoring and intelligent recognition, traditional network video monitoring system uses delay sensitive video image coding and transmission process, it will produce distortion attenuation, so video recognition is not good. An intelligent network video monitoring and recognition system with low distortion attenuation is designed based on MPEG-4, MUX101 program control switch is used to control AD8021 chip, video amplifier feedback resistor is designed, programmable amplifier VCA810 is used, it is controlled by DSP and the control voltage to adjust the magnification of the objective, to achieve accurate video data acquisition network. The RGB components are processed into the luminance, RLE itinerary coding and Huffman coding is completed in the compression task. We carry on the intelligent recognition and video transmission, the series parallel hybrid broadband impedance matching network control methods, improve the data acquisition system sensitivity and stability, suppress the distortion attenuation, improve the ability to sensitive feature recognition in video surveillance. System test results show that, the system has better performance in sensitive characteristic recognition of network video monitoring, it can effectively restrain the distortion attenuation, improve the network video recognition accuracy.