IJRAR(ISSN 2348 –1269, Print ISSN 2349-5138 ) | UGC Approved Journal | UGC Journal | UGC

International Journal of Research and Analytical Reviews (IJRAR)

International Peer Reviewed, Open Access Journal

E-ISSN 2348-1269, P- ISSN 2349-5138 | ESTD Year: 2014

Read all new guidelines related publication before submission or publication .

Login to Author Home
IJRAR.COM Old Paper
Repository

  Published Paper Details:

  Paper Title  

HISTOGRAM SPECIFICATION AND KALMAN FILTER WITH EUCLIDIAN DISTANCE TECHNIQUE FOR IDENTIFICATION OF HUMAN IN THE VIDEO SURVEILLANCE SYSTEMS

  Authors

  Raviprakash M L,  C S Pillai

  Keywords

Histogram Specification, Background Subtraction, Fourier transformation; Kalman Filter, Morphological operation, Euclidian Distance.

  Abstract


In Real time video Surveillance systems, the primary and most significant step is target object detection. Video Surveillance systems provides us continuous monitoring of the objects for the enhancement of security and control. Even though there is lot of progress in this field, human detection still remains one of the challenging tasks.This paper presents novel approach for detection of human using Histogram Specification with the Kalman filtering approach. The main objective of this paper is providing precise identification of human and estimation of their location from an unknown scene. Whenever the human is detected from extracted frames of the input video the background subtraction will be applied with Blob Analysis technique for modelling then the morphological operations are applied to remove the noise in the frame by choosing the size and shape of the neighborhood frame, is applied to find the frequency components of a signal buried in noise, Finally Kalman filter technique is applied where different positions of humans are identified based on the Calculation of Euclidian distance using the correlation matrix. The results of this work are drawn in the MATLAB tool by considering the input video dataset taken from various sources and extracting the frames from the input video for the detection then the efficiency of the proposed techniques will be measured

  Cite this article

  Raviprakash M L,  C S Pillai,   "HISTOGRAM SPECIFICATION AND KALMAN FILTER WITH EUCLIDIAN DISTANCE TECHNIQUE FOR IDENTIFICATION OF HUMAN IN THE VIDEO SURVEILLANCE SYSTEMS", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.6, Issue 1, Page No pp.977-987, March 2019, Available at : http://www.ijrar.org/IJRAR19H1146.pdf  

  IJRAR's Publication Details

  Unique Identification Number - IJRAR19H1146

  Paper ID - 200833

  Page Number(s) - 977-987

  Pubished in - Volume 6 | Issue 1 | March 2019

  DOI (Digital Object Identifier) -   

  Publisher Name - IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138

  E-ISSN 2348-1269, P- ISSN 2349-5138

  Cite this article

  Raviprakash M L,  C S Pillai,   "HISTOGRAM SPECIFICATION AND KALMAN FILTER WITH EUCLIDIAN DISTANCE TECHNIQUE FOR IDENTIFICATION OF HUMAN IN THE VIDEO SURVEILLANCE SYSTEMS", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.6, Issue 1, Page No pp.977-987, March 2019, Available at : http://www.ijrar.org/IJRAR19H1146.pdf

  Share this article

  Indexing Partners

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer

  Call For Paper

  About IJRAR

About IJRAR

The IJRAR - International Journal of Research and Analytical Reviews (IJRAR) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


Indexing In Google Scholar, ResearcherID Thomson Reuters, Mendeley : reference manager, Academia.edu, arXiv.org, Research Gate, CiteSeerX, DocStoc, ISSUU, Scribd, and many more

IJRAR - International Journal of Research and Analytical Reviews (IJRAR)
E-ISSN 2348-1269, P- ISSN 2349-5138 | Impact Factor: 5.75 | UGC and ISSN Approved.
Provide DOI and Hard copy of Certificate.

Call For Paper (Volume 7 | Issue 3 | Month- July 2020)

Licence and Indexing

Indexing In Google Scholar, ResearcherID Thomson Reuters, Mendeley : reference manager, Academia.edu, arXiv.org, Research Gate, CiteSeerX, DocStoc, ISSUU, Scribd, and many more | High Impact Factor: 5.97 | Digital object identifier (DOI) and Hard Copy of certificate Provided.







Licence

DOI
ISSN Approved
Creative Common
UGC approved

Features

UGC and ISSN approved.
Impact Factor: 5.75 Calculated by google scholar
Call For Paper (Volume 7 | Issue 3 | Month- July 2020)
Quick, Fast, automatic Speedy Review Process
Notification of Review Result - Within 12-13 Days.
Publication of Paper - Within 12-15 Days.

Provide Free DOI(Digital Object Identifiers) to All Paper.
Provide Hard copy of certificate based on request.
Indexing of paper in all major online journal databases.
SEO effective and Automated Metadata Citation Generator.

Open-Access peer reviewed International Journal
Fully Automated and Secure https Website
Author can Check Publication Process status online.
EMail and SMS notification to the author for each Process stage.
Paper and Soft Copy of "Certificate" Available life time on website.

Qualifed & Experience Reviewers from Well-known Institutes/Universities among the world.
Social Media, Email and Call Support 24*7.
Google Scholar, ResearcherID Thomson Reuters Indexing.
Author Research Guidelines & Support.

  Breif Details About IJRAR | www.ijrar.org

IJRAR.ORG
ISSN
E-ISSN 2348-1269,
P- ISSN 2349-5138
UGC ISSN APPROVED
Journal Starting Year (ESTD) : 2014
Impact Factor
DOI Details

Providing A Free digital object identifier by DOI.one How to get DOI?
Open Access
This material is Open Knowledge
This material is Open Data
This material is Open Content