Fast multi-feature pedestrian detection algorithm based on histogram of oriented gradient using discrete wavelet transform

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• 作者：Gwang-Soo Hong ; Byung-Gyu Kim ; Young-Sup Hwang…
• 关键词：Natural user interface (NUI) ; Region of interest (ROI) ; Discrete wavelet transform (DWT) ; Histogram of oriented gradient (HOG)
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：75
• 期：23
• 页码：15229-15245
• 全文大小：2,052 KB
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721
• 卷排序：75

文摘

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.