Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

<Previous Article In Volume
Next Article In Volume>

Scene Perception and Object Tracking

Authors
Gandivalasa Sumanth1, *, Geddavalasa Prasanth1, A. Christy2
1Student Sathyabama Institute of Science and Technology, Department of Computer Science and Engineering, Chennai, India
2Professor Sathyabama Institute of Science and Technology, Department of Computer Science and Engineering, Chennai, India
*Corresponding author. Email: sumanthgandivalasa@gmail.com
Corresponding Author
Gandivalasa Sumanth
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_89How to use a DOI?
Keywords
YOLO v5; computer vision; object detection; object tracking; object
Abstract

This study explores the integration of the YOLOv5 algorithm in scene perception and object tracking within computer vision. Our primary objective is to enhance recognition effectiveness and precision by customizing and implementing YOLOv5 to handle dynamic settings and diverse objects. The methodology encompasses comprehensive data collection, preparation, and model training using varied datasets. Results showcase YOLOv5's efficacy in real-time image comprehension, offering valuable insights for robotics, surveillance, and related fields. This research contributes significantly to advancing computer vision, emphasizing YOLOv5's capabilities in complex visual environments.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_89
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_89How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Gandivalasa Sumanth
AU  - Geddavalasa Prasanth
AU  - A. Christy
PY  - 2024
DA  - 2024/07/30
TI  - Scene Perception and Object Tracking
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 934
EP  - 945
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_89
DO  - 10.2991/978-94-6463-471-6_89
ID  - Sumanth2024
ER  -