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This document describes a pedestrian detection and tracking system based on video processing technology. The system uses background subtraction and a Gaussian mixture model to detect pedestrians in each video frame. It then employs a low-dimensional soft-output support vector machine classifier using histogram of oriented gradients features to identify detected objects as pedestrians. The system is capable of real-time pedestrian detection, tracking, counting and risk warning analysis. It was developed usin

Author

Sunitha B

Language

EN