3 March 2016 4D light-field sensing system for people counting
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Abstract
Counting the number of people is still an important task in social security applications, and a few methods based on video surveillance have been proposed in recent years. In this paper, we design a novel optical sensing system to directly acquire the depth map of the scene from one light-field camera. The light-field sensing system can count the number of people crossing the passageway, and record the direction and intensity of rays at a snapshot without any assistant light devices. Depth maps are extracted from the raw light-ray sensing data. Our smart sensing system is equipped with a passive imaging sensor, which is able to naturally discern the depth difference between the head and shoulders for each person. Then a human model is built. Through detecting the human model from light-field images, the number of people passing the scene can be counted rapidly. We verify the feasibility of the sensing system as well as the accuracy by capturing real-world scenes passing single and multiple people under natural illumination.
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Guangqi Hou, Chi Zhang, Yunlong Wang, Zhenan Sun, "4D light-field sensing system for people counting", Proc. SPIE 9751, Smart Photonic and Optoelectronic Integrated Circuits XVIII, 975114 (3 March 2016); doi: 10.1117/12.2212974; https://doi.org/10.1117/12.2212974
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