Pedestrian detection in video surveillance using yolo V5 with light perception fusion (Record no. 22718)
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| 000 -LEADER | |
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| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250425094715.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250425b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 25992 |
| Author | Sivalingan, H. |
| 245 ## - TITLE STATEMENT | |
| Title | Pedestrian detection in video surveillance using yolo V5 with light perception fusion |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.14(4), Apr |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Chennai |
| Name of publisher, distributor, etc. | ICT Academy |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 3347-3353p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This research presents an innovative approach to pedestrian detection<br/>in video surveillance, leveraging the power of YOLOv5 (You Only Look<br/>Once version 5) combined with light perception fusion-based feature<br/>extraction. The proposed methodology aims to enhance the accuracy<br/>and efficiency of pedestrian detection systems in varying lighting<br/>conditions. YOLOv5, known for its real-time object detection<br/>capabilities, is integrated with a novel feature extraction technique that<br/>fuses information from multiple light perception sensors. This fusion<br/>strategy allows the model to adapt and perform robustly in diverse<br/>lighting scenarios. The experimental results demonstrate the<br/>superiority of the proposed method, achieving a remarkable<br/>performance. The fusion of YOLOv5 with light perception-based<br/>feature extraction showcases promising advancements in pedestrian<br/>detection, addressing challenges posed by dynamic lighting conditions<br/>in real-world surveillance environments. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Chennai ICT Academy |
| Title | ICTACT Journal on Soft Computing (IJSC) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://ictactjournals.in/paper/IJSC_Vol_14_Iss_4_Paper_7_3347_3353.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 25/04/2025 | 2025-0667 | 25/04/2025 | 25/04/2025 | Articles Abstract Database |