An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms

This paper presents an energy-aware approach to moving object detection that requires very low computation and memory while ensuring robust performance under noisy environments. The proposed approach is integrated into a wireless image sensor platform with a block-based processing unit and the motion JPEG encoder. The sensor platform is designed as an ASIC in 130nm CMOS for energy/area analysis, as well as prototyped into Virtex-5 FPGA for functional validation. The sensor platform designed with the proposed approach consumes less energy and area than the platforms with the existing methods such as Gaussian Mixture Model, while maintaining a reliable delivery of region-of-interest.