Abstract
In wireless multimedia sensor networks (WMSN), many video sensors distributed in the same scene acquire large quantities of data. However, sensor devices are constrained in terms of power, processing, and bandwidth capacity. This paper presents a new framework of distributed video processing system for WMSN that takes advantage of distributed compressive sensing (DCS) theory. In the encoder analysis the residual joint sparse model. In the decoder, efficient reconstruction is implemented using the GPSR algorithm to recover images. Side information is generated using the temporal correlation between adjacent frames from a single view and the spatial correlation of the two nearest views. Experimental results show that the method presented achieves 1-3dB improvement in PSNR compared to the coding method of single-view videos.
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