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Bio-Inspired Neuromorphic Identification of Pedestrian and Object for the Road User Safety

There has been much research and development in pedestrian detection to minimize accidents. The fast changing environment presents a challenge for reliable detection. In this paper, an algorithm inspired from the human eye was implemented. The detection of a pedestrian from an image taken from a moving car and a second deck of a moving bus proved to be successful with the same algorithm even though the condition of the image taken was quite different. The feasibility of applying this idea is further extended when it can be implemented electronically using 0.18um Complementary Metal Oxide Semiconductor (CMOS) technology.