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Video streaming applications in wireless camera networks composed by low-end devices are attractive for enabling new pervasive high value services. When complying with the 6LoWPAN standard, the reduced amount of available bandwidth imposes the transmission of low resolution images. In this paper we present a low-complexity algorithm based on background subtraction and error resilience techniques aimed at reducing the transmission bandwidth of a video stream of uncompressed images thus permitting a higher frame rate. By means of realistic simulation studies, the performance of the presented algorithm is analyzed against state-of-the-art solutions like JPEG. These results can be considered for designing a next generation of smart cameras suited for 6LoWPAN.