NDLI: Oriented Gradient Context for pedestrian detection

Content Provider	IEEE Xplore Digital Library
Author	Jianqing Wang Min Wang Hong Qiao Keane, J.
Copyright Year	2012
Description	Author affiliation: School of Computer Science, University of Manchester, Manchester, UK (Keane, J.) \|\| Institute of Automation, Chinese Academy of Sciences, Beijing, China (Min Wang; Hong Qiao) \|\| College of Information Technology, Zhejiang Chinese Medical University, Hangzhou, China (Jianqing Wang)
Abstract	This paper presents a novel context-based feature for image encoding and object detection. The Oriented Gradient Context (OGC) descriptor represents the image in the context of different local area-based oriented gradient information. Both fine and coarse oriented gradients information about the image is captured, then different sizes of local areas with statistical oriented gradients are assembled into pair combinations to represent the gradient distribution context of the image. The features are comparatively simple but information-rich for utilization by classification algorithms. Based on the context information, the detection algorithm is relatively invariant to small shifts, translations of objects and changes in object appearance; even cases with partial occlusions and cluttered background are handled. The detection algorithm based on the proposed OGC features is shown to achieve good performance on pedestrian detection, comparable to other popular algorithms.
Starting Page	1142
Ending Page	1147
File Size	279524
Page Count	6
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485318
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Context Training Classification algorithms Histograms Algorithm design and analysis Image edge detection context feature Oriented Gradient Context (OGC) pedestrian detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in