Multiple object tracking using deep learning
Multiple Object Tracking (MOT) is widely used in various fields, such as traffic flow monitoring and crowd density estimation. Related technologies can increase productivity by enabling fully automated object recognition and mitigating the risks associated with human error. It is particularly import...
Saved in:
Main Author: | Zhang, Bohan |
---|---|
Other Authors: | Yap Kim Hui |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/177601 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Real-time UAV-based vehicle counting method based on deep learning
by: Dang, Zichen
Published: (2024) -
Pedestrian tracking based on deep learning
by: Xia, Yuqi
Published: (2024) -
Object detection and tracking (in car cabin)
by: Huda, Md Tanvirul
Published: (2024) -
LiDAR-based 3D object detection and tracking for autonomous driving
by: Luo, Zhipeng
Published: (2024) -
TOWARDS EFFICIENT OBJECT DETECTION WITH DEEP LEARNING
by: WANG, TAO
Published: (2023)