Paper Info
Title
Fast multi-feature pedestrian detection algorithm based on histogram of oriented gradient using discrete wavelet transform
Abstract
A convergence between a natural user interface (NUI) and advanced driver assistance system is considered as a next generation technology. This kind of interfacing system technology becomes more popular in driver assistance system of automobile. Especially, pedestrian detection is an important cue for intelligent vehicles and interactive driver assistance system. In this paper, we propose a pedestrian detection feature and technique by combining histogram of the oriented gradient (HOG) and discrete wavelet transform (DWT). In the method, the magnitude of motion is used to set region of interest (ROI) for improving detection speed. Then, we employ multi-feature for a pedestrian detection based on the HOG and DWT. In last stage, to classify whether a candidate window contains a pedestrian or not, the designed multi-feature is learned by using the training data with the support vector machine (SVM) mechanism. Experimental results show that the proposed algorithm increases the speed-up factor of 27.21 % by comparing to the existing method using the original HOG feature.
Year
DOI
Venue
2016
10.1007/s11042-015-2455-2
Multimedia Tools Appl.
Keywords
Field
DocType
Natural user interface (NUI),Region of interest (ROI),Discrete wavelet transform (DWT),Histogram of oriented gradient (HOG)
Convergence (routing),Histogram,Computer science,Interfacing,Artificial intelligence,Discrete wavelet transform,Pedestrian detection,Computer vision,Pattern recognition,Support vector machine,Algorithm,Region of interest,Natural user interface
Journal
Volume
Issue
ISSN
75
23
1380-7501
Citations 
PageRank 
References 
3
0.38
19
Authors
4
Name
Order
Citations
PageRank
Gwang-Soo Hong1215.53
Byung-Gyu Kim239639.17
Young-sup Hwang312122.83
Kee-Koo Kwon4256.26