Home > Published Issues > 2017 > Volume 5, No. 2, December 2017 >

Enhanced HoG Technique for Pedestrian Detection Based on Quarter Cell

Kim Pyeongkang, Kim Hyunghun, and Kim Taewoo
INNODEP/R&D Planning Team, Seoul, Korea

Abstract—There is a high level of interest in pedestrian detection systems based on worldwide acknowledgement of pedestrian safety, and the need for research in this area is increasing. The HoG based pedestrian detection method proposed by Dalal and Triggs has been recognized as being less sensitive to the clothing and poses of pedestrians and also changes in lighting and is therefore one of the main methods used for pedestrian detection. But because the HoG based method requires a significant amount of computations, it is difficult to implement this method in real-time. Therefore, this paper calculates the histogram of only needed cells to suggest HoG based on Quarter Cell, which has shortened the calculating process and it turns out that there is no significant difference in detectability factor whereas the time spent to get the results has decreased.

Index Terms—pedestrian, pedestrian detection, intelligent system, HoG

Cite: Kim Pyeongkang, Kim Hyunghun, and Kim Taewoo, "Enhanced HoG Technique for Pedestrian Detection Based on Quarter Cell," Journal of Image and Graphics, Vol. 5, No. 2, pp. 64-67, December 2017. doi: 10.18178/joig.5.2.64-67