People Detection System Using YOLOv3 Algorithm
In crowd security systems, precise real-time detection of people in images or videos can be very challenging especially in complex and dense crowds whereby some individuals could possibly be partly or entirely occluded for varying lengths of time. Thus, this paper presents a large Convolutional Neur...
الحاوية / القاعدة: | Proceedings - 10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020 |
---|---|
المؤلف الرئيسي: | 2-s2.0-85093873154 |
التنسيق: | Conference paper |
اللغة: | English |
منشور في: |
Institute of Electrical and Electronics Engineers Inc.
2020
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093873154&doi=10.1109%2fICCSCE50387.2020.9204925&partnerID=40&md5=6716080f457c3fd088e028f2eb4eeed4 |
مواد مشابهة
-
Hardhat-YOLO: A YOLOv5-based Lightweight Hardhat-Wearing Detection Algorithm in Substation Sites
بواسطة: 2-s2.0-85195077787
منشور في: (2024) -
Efficient Pavement Crack Detection and Classification Using Custom YOLOv7 Model
بواسطة: 2-s2.0-85151442702
منشور في: (2023) -
Lightweight White Blood Cells Detection Using Fusion of YOLOv5 and Attention Model
بواسطة: 2-s2.0-85199751285
منشور في: (2025) -
Malaysian Sign Language (MSL) Detection: Comparison of YOLOv5 and CNN
بواسطة: Halim, وآخرون
منشور في: (2024) -
People Tracking System Using DeepSORT
بواسطة: 2-s2.0-85093847439
منشور في: (2020)