现代电子技术2017，Vol.40Issue(10)：16-19,4.DOI:10.16652/j.issn.1004-373x.2017.10.005
鲁棒性压缩感知重构技术及其在智能视频监控中的应用研究
Robust compressed sensing reconstruction technique and its application in intelligent video monitoring
摘要
Abstract
As the robustness compressed sensing reconstruction is required in the video monitoring to reduce the effect of video packet loss,time delay and other factors,a robustness compressed sensing reconstruction technology based on hidden Mar-kov model is proposed,which is applied to the intelligent video monitoring. The hidden Markov model is used to deal with odd-even splitting processing of feature points in frequency domain for sequence of video frames in intelligent video surveillance sys-tem,and then the scalar quantization code rate allocation coefficient of the video monitoring encoding is calculated to establish a time-space direction tree for video compressed sensing reconstruction,conduct decoding reconstruction with hidden Markov model, and achieve the robustness compressed sensing reconstruction for video frames. The simulation test results show that the pro-posed method can effectively reduce the packet loss rate and transmission time delay,and has a good application value in intelli-gent video surveillance.关键词
鲁棒性压缩感知/智能视频监控/编码/奇偶分裂处理Key words
robustness compressed sensing/video monitoring/coding/odd-even splitting processing分类
信息技术与安全科学引用本文复制引用
郑志刚,杨真真..鲁棒性压缩感知重构技术及其在智能视频监控中的应用研究[J].现代电子技术,2017,40(10):16-19,4.基金项目
国家自然科学基金项目(61501251) （61501251）
