UGC CARE norms ugc approved journal norms IJRTI Research Journal

WhatsApp
Click Here

International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 74

Article Submitted : 3608

Article Published : 2079

Total Authors : 5515

Total Reviewer : 528

Total Countries : 39

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Multiple Object Tracking using STMRF and YOLOv4 Deep SORT in Surveillance Video
Authors Name: Kusuma T , Dr. Ashwini K
Download E-Certificate: Download
Author Reg. ID:
IJRTI_182110
Published Paper Id: IJRTI2206008
Published In: Volume 7 Issue 6, June-2022
DOI:
Abstract: Multiple items tracking are a process of providing unique and consistent ownership of objects during video sequencing. This paper introduces a moving tracking sequence of video compressed H.264 / AVC using the ‘Spatio Temporal Markov Random Field model (ST-MRF)’. The proposed method operates on a compressed domain and tracks moving vectors (MVs) and blocks coding modes (BCMs) from a compressed bitstream. The results presented in this paper suggest that the volume of the object detection algorithm reflects the overall performance of the tracking system. Finally, we investigate how the use of visual definitions in the tracking phase of a tracking system affects performance using Deep SORT. The results presented in this paper suggest that the volume of the discovery algorithm reflects the overall performance of the tracking-by detection system.
Keywords: Object Tracking, ST-MRF, Deep SORT, Block Coding Modes
Cite Article: "Multiple Object Tracking using STMRF and YOLOv4 Deep SORT in Surveillance Video", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.43 - 51, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206008.pdf
Downloads: 00084155
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2206008
Registration ID:182110
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 43 - 51
Country: Bengaluru, karnataka, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206008
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206008
Share Article:

Share Facebook Twitter Google+ Pinterest LinkedIn Email Tumblr WhatsApp Google Gmail

Click Here to Download This Article

Article Preview
Click Here to Download This Article
Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Join RMS/Earn 300
IJRTI

Indexing Partner
Copyright © 2022 - All Rights Reserved - IJRTI