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http://dx.doi.org/10.5762/KAIS.2014.15.8.5263

Fast Human Detection Algorithm for High-Resolution CCTV Camera  

Park, In-Cheol (Division of Defence Technology, Howon University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.15, no.8, 2014 , pp. 5263-5268 More about this Journal
Abstract
This paper suggests a fast human detection algorithm that can be applied to a high-resolution CCTV camera. Human detection algorithms, which used a HOG detector show high performance in the region of image processing. On the other hand, it is difficult to apply to real-time high resolution imaging because of its slow processing speed in the extracting figures of HOG. To resolve this problems, we suggest how to detect humans into two stages. First, candidates of a human region are found using background subtraction, and humans and non-humans are distinguished using a HOG detector only. This process increases the detection speed by approximately 2.5 times without any degradation in performance.
Keywords
Background subtraction; Mean-shift algorithm; HOG; Skeleton; Haar feature-based cascade classifier; Human Detection;
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Times Cited By KSCI : 3  (Citation Analysis)
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