Open Access Open Access  Restricted Access Subscription or Fee Access

An Improved Real-time Detection and Localization Scheme for Pedestrian Based on Information Fusion

Li FuLiang, You Feng, Zhang Ronghui, Liu Tao, Pei Yulong, Xu Jianmin

Abstract


Computer vision based pedestrian detection has become one of the hottest topics in the domain of intelligent vehicle because of its potential applications in driver assistance systems. In this paper, we put forward an improved real-time detection and Localization method for pedestrian. We select Haar-like features, sums up nine categories rectangle features which highlight the different characteristics of pedestrian appearance, and use integral image to speed up the calculation for rectangular features. Meanwhile, we introduce an optimization method of updating weight into the traditional AdaBoost algorithm, design a cascade classifier, and obtain a better pedestrian classifier with accurate recognition by faster training, which realize the real-time regional rapid detection of pedestrians. Experimental results show that the improved training process has short training time, high accuracy, and strong real-time performance.

Keywords


Driver assistance system, pedestrian detection, AdaBoost algorithm, rectangle filters, haar-like features, cascade classifier.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.