 |
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)
|
Issue: May 2025
Volume 10 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
Article Submitted : 15187
Article Published : 6774
Total Authors : 18167
Total Reviewer : 663
Total Countries : 121
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Optimized HED- YOLO algorithm for posture detection of pigs |
| Authors Name: | Saraswathi Sivamani , Sun Il Chon , Ji Hwan Park , Seong Ho Choi , Dong Hoon Lee |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_181585
|
| Published Paper Id: | IJRTI2108004 |
| Published In: | Volume 6 Issue 8, August-2021 |
| DOI: | |
| Abstract: | Precise detection of the object is critical for posture recognition of pigs. The posture detection has been a great interest for researchers, as the detection are linked with the health and welfare of the livestock. Thus, the images obtained from different angles and distance making the posture detection a challenging task. In this paper, we propose an effective posture detection with the combination of (YOLO) and holistically-nested edge detection (HED) to address the issues. The proposed model analysis whether the image along with the Holistically edge detection and machine learning approach could be utilities to identify the posture detection of the pig such as sitting, lying and standing postures. Two approaches that included YOLO with RGB images and Yolov3 with Holistically-Nested Edge Detection (HED) images were included to compare the results. Data from single farm at different time were used for training and validation of the proposed models. The experiment result confirms that the YOLO with HED images was able to detect the posture of the pigs with high accuracy of Mean average precision greater than 0.94%. |
| Keywords: | Image Classification, Animal Behavior, YOLO, Posture Detection, Holistically Edge Detection |
| Cite Article: | "Optimized HED- YOLO algorithm for posture detection of pigs", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 8, page no.18 - 23, August-2021, Available :http://www.ijrti.org/papers/IJRTI2108004.pdf |
| Downloads: | 000204835 |
| 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: IJRTI2108004
Registration ID:181585
Published In: Volume 6 Issue 8, August-2021
DOI (Digital Object Identifier):
Page No: 18 - 23 Country: Seoul, Seoul, Korea, Republic of Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2108004 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2108004 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
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
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||