Title :
Pedestrian Detection Based on Histogram of Oriented Gradient in Intelligent Transportation System
Author :
Li Fei ; Li Deng Lin
Author_Institution :
Inf. Sci. & Eng. Sch., Shenyang Univ. of Technol., Shenyang, China
Abstract :
Pedestrian detection technology which is based on vision is one of the core technologies in the intelligent transportation system. This paper focuses on the image and video in traffic system. The image and video are normalized and are extracted of histograms of oriented gradients (HOG) by using the linear support vector machine (SVM) to construct efficient classifier. It can realize accurate detection of pedestrians in traffic image. Moreover, the pedestrian detection technology is proved in disclosed INRIA database and experiments of actual traffic video image, and the method can rapidly achieve accurate detection results.
Keywords :
feature extraction; image classification; intelligent transportation systems; object detection; pedestrians; support vector machines; video signal processing; visual databases; HOG; INRIA database; classifier; histogram of oriented gradient extraction; image normalization; intelligent transportation system; linear support vector machine; pedestrian detection technology; traffic system; video normalization; Feature extraction; Histograms; Support vector machine classification; Testing; Training; Transportation; HOG; SVM; intelligent transportation system; pedestrian detection;
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2013 6th International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4799-2808-8
DOI :
10.1109/ICINIS.2013.27
