A New Pedestrian Feature Description Method Named Neighborhood Descriptor of Oriented Gradients

Qian Liu, Feng Yang and XiaoFen Tang
Additional contact information
Qian Liu: School of Information Engineering, Ningxia University, Ningxia, China
Feng Yang: School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, China
XiaoFen Tang: School of Information Engineering, Ningxia University, Ningxia, China

International Journal of Information Technology and Web Engineering (IJITWE), 2021, vol. 16, issue 1, 23-55

Abstract: In view of the issue of the mechanism for enhancing the neighbourhood relationship of blocks of HOG, this paper proposes neighborhood descriptor of oriented gradients (NDOG), an improved feature descriptor based on HOG, for pedestrian detection. To obtain the NDOG feature vector, the algorithm calculates the local weight vector of the HOG feature descriptor, while integrating spatial correlation among blocks, concatenates this weight vector to the tail of the HOG feature descriptor, and uses the gradient norm to normalize this new feature vector. With the proposed NDOG feature vector along with a linear SVM classifier, this paper develops a complete pedestrian detection approach. Experimental results for the INRIA, Caltech-USA, and ETH pedestrian datasets show that the approach achieves a lower miss rate and a higher average precision compared with HOG and other advanced methods for pedestrian detection especially in the case of insufficient training samples.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJITWE.2021010102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jitwe0:v:16:y:2021:i:1:p:23-55

Access Statistics for this article

International Journal of Information Technology and Web Engineering (IJITWE) is currently edited by Ghazi I. Alkhatib

More articles in International Journal of Information Technology and Web Engineering (IJITWE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().