NDLI: Real time edge detected advanced image acquisition system using RGB analysis

Content Provider	IEEE Xplore Digital Library
Author	Dutta, R. Mitra, K. Mukherjee, S. Sharma, P.
Copyright Year	2013
Description	Author affiliation: Dept. of ECE, Surendra Inst. of Eng. & Manage., Siliguri, India (Dutta, R.; Mitra, K.; Mukherjee, S.; Sharma, P.)
Abstract	In modern era the real time edge detection of moving elements in image sequences is the most important step in many image & video acquisition systems including automated visual surveillance. In this paper, we present an advanced framework for detecting some very important issues, like people identification and people flow count in restricted organizations for security measures. The objectives is to constant monitor activities at restricted regions for detecting unwanted congestions and predict the people flow which assists in regulating the crowd density at the target place. This unique approach help us as the system can sense the frame of target object, detect instantly the edges of the target, automatically process the captured footage and provides the filtered version of the target image/video. In addition with, our proposed system can also track the motion of the target object (people). Also color histograms (RGB) help us to make prompt decisions while capturing the total range of existing digital image/video. In this paper the proposed system with such modern features combined is designed using MAT Lab/SIMULINK V.7.10.0 and simulated. The related experimental results are shown and evaluated successfully.
Sponsorship	IEEE Gujarat Sect.
Starting Page	87
Ending Page	91
File Size	387022
Page Count	5
File Format	PDF
ISBN	9781479903160
e-ISBN	9781479903177
DOI	10.1109/ISSP.2013.6526880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-01
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image color analysis Tracking Image edge detection Surveillance Streaming media Motion Detection Real-time systems Color Histogram Analysis Real Tim e Edge Detection Image Acquisition System
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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