NDLI: Zenithal people counting using histogram of oriented gradients

Content Provider	IEEE Xplore Digital Library
Author	Chunhui Tang Qijun Chen
Copyright Year	2012
Description	Author affiliation: College of Electronics and Information Engineering, Tongji University, Shanghai, China (Chunhui Tang; Qijun Chen)
Abstract	There are extensive literatures on pedestrian detection, mostly supposed that visible humans are observed in flat view. Sometimes pedestrian detection from another perspective should be considered. In this paper, the pedestrian detection with a vertical view camera is taken into account, which is usually used to count the pedestrian number. The target characteristic is quite different from traditional one though their targets seem the same. The pedestrian head in vertical view is remarkable and a histogram of oriented gradients (HOG) descriptor is introduced for the head detection. The proposed descriptor originates from traditional pedestrian detection and it is reformed and adaptive in our task. To our knowledge, this descriptor is firstly applied to detect pedestrian heads in vertical view. Experiments show that it is effective, and can be applied to count pedestrians in vertical view with a faster processing speed.
Starting Page	946
Ending Page	951
File Size	546954
Page Count	6
File Format	PDF
ISBN	9781467309653
e-ISBN	9781467309646
DOI	10.1109/CISP.2012.6469949
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Histograms HOG Head head detection pedestrian detection Detectors Cameras Vectors vertical view Testing
Content Type	Text
Resource Type	Article

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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
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