关键词:无线视频监控; 压缩传感; 稀疏表示; 量子遗传算法; 测量矩阵
Wireless image and video surveillance based on compressive sensing
ZHOU Yana, WANG Donga, ZHONG Yongb, HUO Yingyuc
(a.Dept. of Computer, School of Electrical & Information Engineering, b.Information & Education Technology Center, c.Science College, Foshan University, Foshan Guangdong 528000, China)
Abstract:Abundant data of image capture is the main factor that hinders the video surveillance system to develop in the direction of wireless. This paper introduced compressed sensing into video image sampling, bringing a new kind of application research for wireless video surveillance. In order to reduce the computation and storage capacity in sparse decomposition process, based on the matching pursuit algorithm, introduced quantum genetic algorithm to implement fast sparse representation of images. And regarded fourier matrix as the measurement matrix of compressed sensing, it could reduce the amount of measurement data effectively, improve the quality of reconstructed image. The simulation results show that the amount of measurement data received by compressed sensing is far less than that obtained by traditional sampling method, breaking the bottleneck of traditional signal sampling, improving sampling efficiency, and the compression measurements eventually acquire can well restore the surveillance scene.......