Padfoot is a multi-pedestrian tracker from a moving camera feed. It used Kalman Filter for tracking and uses an indigenous cost matrix propoagation method for data association. It also estimates ego-motion to compensate for camera motion to get an improved tracking estimate which is used to reduce the search space for detection.
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sam17/Padfoot
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Padfoot is a multi-pedestrian tracker project written during my internship at NTU Singapore in Centre for High Performance Embedded Systems Lab.
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