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Pedestrian target tracking based on DeepSORT with YOLOv5
Y Gai, W He, Z Zhou - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
Pedestrian target tracking is an important problem in the field of computer vision. To address
low tracking accuracy and tracking errors in pedestrian target tracking. This paper …
low tracking accuracy and tracking errors in pedestrian target tracking. This paper …
Visual tracking of construction jobsite workforce and equipment with particle filtering
Z Zhu, X Ren, Z Chen - Journal of Computing in Civil Engineering, 2016 - ascelibrary.org
Tracking workforce and equipment at construction jobsites has attracted considerable
interest, considering its importance for productivity analysis, safety monitoring, and dynamic …
interest, considering its importance for productivity analysis, safety monitoring, and dynamic …
Robust visual object tracking using multi-mode anisotropic mean shift and particle filters
This paper addresses issues in object tracking where videos contain complex scenarios. We
propose a novel tracking scheme that jointly employs particle filters and multi-mode …
propose a novel tracking scheme that jointly employs particle filters and multi-mode …
A fusion framework for vision-based indoor occupancy estimation
Building occupancy information is essential for energy saving, comfort improvement, and
security management. Existing vision-based indoor occupancy measurement methods have …
security management. Existing vision-based indoor occupancy measurement methods have …
[PDF][PDF] 目标跟踪算法综述
孟琭, 杨旭 - 自动化学报, 2019 - aas.net.cn
摘要目标跟踪一直以来都是计算机视觉领域的关键问题, 最**随着人工智能技术的飞速发展,
运动目标跟踪问题得到了越来越多的关注. 本文对主流目标跟踪算法进行了综述, 首先 …
运动目标跟踪问题得到了越来越多的关注. 本文对主流目标跟踪算法进行了综述, 首先 …
Online dynamic gesture recognition for human robot interaction
This paper presents an online dynamic hand gesture recognition system with an RGB-D
camera, which can automatically recognize hand gestures against complicated background …
camera, which can automatically recognize hand gestures against complicated background …
Indoor occupancy measurement by the fusion of motion detection and static estimation
The human dimension information in buildings is crucial for energy saving, environment
conditioning, human health, and security management. Indoor occupancy information …
conditioning, human health, and security management. Indoor occupancy information …
AMF-MSPF: A retrospective analysis with online object tracking algorithms
Surveillance systems employ object tracking methods, a class of automatic data analysis
algorithms, to accurately locate the target or its trajectory under a wide range of constraints …
algorithms, to accurately locate the target or its trajectory under a wide range of constraints …
Detection of passenger flow on and off buses based on video images and YOLO algorithm
J Zhao, C Li, Z Xu, L Jiao, Z Zhao, Z Wang - Multimedia Tools and …, 2022 - Springer
Bus passenger flow information is very important as a reference data for bus company line
optimization, schedule scheduling basis, and passenger travel mode arrangement. With the …
optimization, schedule scheduling basis, and passenger travel mode arrangement. With the …
[BOK][B] Moving object detection and tracking in videos
B Karasulu, S Korukoglu, B Karasulu, S Korukoglu - 2013 - Springer
This chapter provides four sections. The first section introduces the moving object D&T
infrastructure and basis of some methods for object detection and tracking (D&T) in videos …
infrastructure and basis of some methods for object detection and tracking (D&T) in videos …