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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM23261
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Pedestrian detection is a critical task in the field of computer vision, particularly for enhancing the safety of autonomous systems such as self-driving cars and intelligent surveillance systems. This project focuses on the development and implementation of a real-time pedestrian detection system that accurately identifies and localizes pedestrians in a variety of complex environments. specifically convolutional neural networks (CNNs), to extract high-level features from input images or video frames. In conclusion, this project presents a real-time pedestrian detection system that utilizes deep learning techniques and advanced methodologies to enhance the safety and reliability of autonomous systems. The developed system
KEYWORDS
Publication Date
11/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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