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http://dx.doi.org/10.7471/ikeee.2014.18.4.581

Implementation of Pedestrian Recognition Based on HOG using ROI for Real Time Processing  

Lee, Joo-Young (Dept. of Electronics Engineering, Seokyeong University)
Publication Information
Journal of IKEEE / v.18, no.4, 2014 , pp. 581-585 More about this Journal
Abstract
In this paper, we propose a pedestrian detection by applying the HOG feature using ROI. Conventional HOG method has high accuracy, but shows the disadvantage of slow processing speed. By applying the ROI to the conventional method reduce computations for unnecessary area. Therefore proposed method improves the processing speed. In order to set the ROI area, we propose a structure that combined odd frames and even frames. Odd frame is in charge of operation for the entire area. And even frame does the operation for the ROI area. Implementation results of proposed method maintaining the same accuracy as the conventional method show a 20% improved performance of 8.3 frames per second.
Keywords
ADAS; pedestrian; histogram of oriented gradient; region of interest; support vector machine;
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