A Novel Algorithm for Fast Human Detection Based on HOG
Abstract
Human detection has been appear for several years and has greatly effect our daily life for it is the base of surveillance system, intelligent control and auto operation, which has changed our life more convenient. However, as the complexity of human detection algorithm, the system above cannot response in time or interact normally with human. In this paper, we focus on the algorithm based on Histogram of Oriented Gradient(HOG) and proposed a novel method to accelerate the process of this algorithm by reducing the regions that needless for useless calculation.
Keywords
Human detection; Histogram of Oriented Gradient, Redundancy reducing
DOI
10.12783/dtcse/aiea2017/15021
10.12783/dtcse/aiea2017/15021
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