NDLI: Pedestrian detection in infrared images using local thresholding

Content Provider	IEEE Xplore Digital Library
Author	Rajkumar, S. Mouli, P.V.S.S.R.
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Sci. & Eng., VIT Univ., Vellore, India (Rajkumar, S.; Mouli, P.V.S.S.R.)
Abstract	This paper presents a new and efficient approach for automatic pedestrian detection in infrared images. The approach consists of three steps; initially, background subtraction model designed based on the input image intensity properties of target and background region to suppress the noise in image. Secondly, order statistics filter is applied on the background suppressed image to enhance the target and suppress the noise leftover, if any, from the image. Finally, Gaussian function based local thresholding is used to detect the pedestrian in image. The experimental results of the proposed method are compared with the existing methods. From the results observed, the proposed method outperforms in both subjective and objective evaluation.
Starting Page	259
Ending Page	263
File Size	352186
Page Count	5
File Format	PDF
e-ISBN	9781479972258
DOI	10.1109/ECS.2015.7124904
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical filters Matched filters Histograms Shape Noise Background subtraction Infrared images Local thresholding Object detection Pedestrian detection Mathematical model
Content Type	Text
Resource Type	Article

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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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