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To prevent many kinds of crimes, the camera sensor network is taken attention. The battery-driven camera node that can be equipped to any place is desired in order to reduce the blind spot as much as possible. However, the battery life is very short as few hours to few months because the conventional camera node requires the high power consumption. We plan to develop a high-performance and low-power camera sensor node with the battery life of two or more years, which is mandatory as the wireless sensor node driven by battery. To achieve this requirement, we are developing a simple image processing with intermittent action performed by the camera node while the conventional camera nodes tend to realize the real-time smooth movie with high resolution by the complex algorithm. We develop a simple image processing based on the back ground subtraction by the fully customized hardware instead of the software realization on the embedded processor or GPU. For developing the hardware, we use the high-level synthesis technology, HLS, which converts the software to the hardware automatically, in order to reduce the design burden of the hardware and quickly follow to the algorithm improvements. However, HLS tools tend to generate a poor hardware, if without deep care about the hardware organization. This paper demonstrates the software description of the background subtraction for HLS tool. The experimental result shows the effect of our reconstruction of the software program for HLS tool.

Development of Image Processing Hardware by High-level Synthesis for High Performance and Low-power Camera Sensor Node on Wireless Sensor Network