NDLI: Pedestrian detection in surveillance videos based on CS-LBP feature

Content Provider	IEEE Xplore Digital Library
Author	Varga, D. Havasi, L. Sziranyi, T.
Copyright Year	2015
Description	Author affiliation: Distrib. Events Anal. Res. Lab., Inst. for Comput. Sci. & Control, Budapest, Hungary (Varga, D.) \|\| Distrib. Events Anal., Res. Lab., Inst. for Comput. Sci. & Control, Budapest, Hungary (Havasi, L.; Sziranyi, T.)
Abstract	Detecting different categories of objects in an image and video content is one of the fundamental tasks in computer vision research. Pedestrian detection is a hot research topic, with several applications including robotics, surveillance and automotive safety. Pedestrians are key participants in transportation systems, so pedestrian detection in video surveillance systems is of great significance to the research and application of Intelligent Transportation Systems (ITS). Pedestrian detection is a challenging problem due to the variance of illumination, color, scale, pose, and so forth. Extraction of effictive features is a key to this task. In this work, we present the multi-scale Center-symmetric Local Binary Pattern feature for pedestrian detection. The proposed feature captures gradient information and some texture and scale information. We completed the detection task with a foreground segmentation method. Experiments on CAVIAR sequences show that the proposed feature with support vector machines can detect pedestrians in real-time effectively in surveillance videos.
Starting Page	413
Ending Page	417
File Size	484796
Page Count	5
File Format	PDF
ISBN	9789633131404
e-ISBN	9789633131428
DOI	10.1109/MTITS.2015.7223288
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-03
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	BME
Subject Keyword	Histograms Computational modeling Surveillance Detectors Feature extraction Video surveillance Pedestrian detection Intelligent transportation systems Videos
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
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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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