Abstract
Pedestrian height is a significant factor in many scenarios, such as behavior analysis or virtual reality. The paper develops a novel height detection method based on the time-of-flight (TOF) camera for dynamic pedestrian. Firstly, the prior error and lens distortion caused by the hardware setups are corrected to provide a more accurate result. Secondly, a new detection method, including a background difference - level set (BD-LS) denoising algorithm and a target extraction based on the maximally stable extremal regions (MSER), is proposed for getting the height of the dynamic pedestrian. Finally, the VICON system has been used as the ground truth to confirm the robustness and practicality of the proposed method. The experimental results show that our method can detect accurately the height of the dynamic pedestrian. In addition, the proposed detection method also can be applied to other related application fields.
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