UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 2
February-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2302433


Registration ID:
508939

Page Number

e283-e288

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Title

Detection and Tracking of Moving Object Using Thermal Threshold Classification (TTC) Technique and Worm Tracker (WT) Approach

Abstract

In this huge pandemic era of COVID 19, the use of thermal scanner and related data is in more demanding situation. Thermal Scanning and Infrared thermography offers significant advantages in monitoring the temperature of objects in dynamic environment. The main focus of this work is detection and tracking of objects in dynamic environment using Visible Spectrum and Thermal Imaging. This paper proposes an initial approach to perform target detection of moving objects in thermal video sequences. Thermal imaging has capability to detect object in low light or dark conditions by detecting the infrared radiation of an object and creating an image which contains temperature information. The extracted regions are then used for performing the segmentation of targets in thermal videos. After segmentation of object, centroid based object tracking is performed to track the objects in thermal videos. For tracking of moving object in this paper we use worm tracker programming approach.

Key Words

Thermal Scanning, IR Thermography, Worm Tracker, Thermal Threshold Technique

Cite This Article

"Detection and Tracking of Moving Object Using Thermal Threshold Classification (TTC) Technique and Worm Tracker (WT) Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.e283-e288, February-2023, Available :http://www.jetir.org/papers/JETIR2302433.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Detection and Tracking of Moving Object Using Thermal Threshold Classification (TTC) Technique and Worm Tracker (WT) Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppe283-e288, February-2023, Available at : http://www.jetir.org/papers/JETIR2302433.pdf

Publication Details

Published Paper ID: JETIR2302433
Registration ID: 508939
Published In: Volume 10 | Issue 2 | Year February-2023
DOI (Digital Object Identifier):
Page No: e283-e288
Country: RANCHI, Jharkhand, India .
Area: Physics
ISSN Number: 2349-5162
Publisher: IJ Publication


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