Dhaka University Journal of Applied Science & Engineering

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Real time Pedestrian detection is a challenging and important task for computer vision-based researchers. This paper presents a novel method for real-time pedestrian detection. In this method motion areas are segmented from real-time image frames captured by a CCD camera. From the segmented and filtered motion area contour is detected using proposed scan conversion algorithm. The normalized contour is then compared with predefined pedestrian shape contour templates and if satisfactory match is found then the pedestrian is localized and bounded using a rectangular box. The system is tested using 4960 image frames and achieved average precision and accuracy rates are 95.72% and 93.05% respectively.

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