Pedestrian Recognition in Far Infrared Images by Combining Boosting Based Detection and Skeleton Based Stochastic Tracking
Nowadays, pedestrian recognition in far infrared images toward realizing a night vision system becomes a hot topic. However, sufficient performance could not be achieved by conventional schemes for pedestrian recognition in far infrared images. Since the properties of far infrared images are different from visible images, it is not known what kind of scheme is suitable for pedestrian recognition in far infrared images. In this paper, a novel pedestrian recognition scheme combining boosting based detection and skeleton based stochastic tracking suitable for recognition in far infrared images is proposed. Experimental results by using far infrared sequences show the proposed scheme achieves highly accurate pedestrian recognition by combining accurate detection with few false positives and accurate tracking.
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