Paisitkriangkrai, Sakrapee; Shen, Chunhua; Zhang, Jian (Andrew)
This paper presents an experimental study on pedestrian detection using state-of-the-art local feature extraction and support vector machine (SVM) classifiers. The performance of pedestrian detection using region covariance, histogram of oriented gradients (HOG) and local receptive fields (LRF) feature descriptors is experimentally evaluated. The experiments are performed on both the benchmarking dataset used in  and the MIT CBCL dataset. Both can be publicly accessed. The experimental...[Show more]
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