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Title
Japanese: 
English:FFT-based Feature for Human Image Detection and Its Evaluation 
Author
Japanese: 永井伸一, 伊藤泉, 西原明法.  
English: Shinichi Nagai, Izumi Ito, AKINORI NISHIHARA.  
Language English 
Journal/Book name
Japanese: 
English: 
Volume, Number, Page        
Published date Jan. 2011 
Publisher
Japanese: 
English: 
Conference name
Japanese: 
English:The International Conference on Information and Communication Technology for Embedded Systems (IC-ICTES 2011) 
Conference site
Japanese: 
English:Pattaya, Thailand at the Amari Orchid Resort & Tower Pattaya Beach 
Official URL http://www.icictes2011.org/
 
Abstract The Histograms of Oriented Gradients (HOG) based on the luminance gradient and are often used for person detection from images. Based on a similarity between luminance gradients and frequency components of image, we propose to use the fast Fourier transform (FFT) for person detection. First we apply FFT to a block divided image. Amplitude information and phase information are calculated, then those values are normalized at each block. All the normalized values of the image are defined as FFT-based feature. It is shown that the detection accuracy of

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