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A multiple detector approach to low-resolution FIR pedestrian recognition
2005
IEEE Proceedings. Intelligent Vehicles Symposium, 2005.
In this paper we present a recognition scheme which is both reliable and fast. The scheme comprises the simultaneous harmonized use of three powerful detection algorithms, the hyper permutation network (HPN), a hierarchical contour matching (HCM) algorithm and a cascaded classifier approach. Each algorithm is evaluated separately and afterwards, based on the evaluation results, the fusion of the detection results is performed by a particle filter approach.
doi:10.1109/ivs.2005.1505123
fatcat:gmacv5sn3rbyndiytbgguw5wvm