Zobrazeno 1 - 10
of 2 104
pro vyhledávání: '"Multi-object tracking"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Drone aerial imaging has become increasingly important across numerous fields as drone optical sensor technology continues to advance. One critical challenge in this domain is achieving both accurate and efficient multi-object tracking. Trad
Externí odkaz:
https://doaj.org/article/570f542110a54fb981d29dec33f63c57
Autor:
Razak Rashad N., Abdullah Hadeel N.
Publikováno v:
Open Engineering, Vol 14, Iss 1, Pp 533-45 (2024)
Multi-object detection and tracking is a crucial and extensively researched field in image processing and computer vision. It involves predicting complete tracklets for many objects in a video clip concurrently. This article uses the frame cancellati
Externí odkaz:
https://doaj.org/article/0ea3b22557824f56911edcd216e19470
Autor:
Guillermo A. Camacho-Muñoz, Sandra Esperanza Nope Rodríguez, Humberto Loaiza-Correa, João Paulo Silva do Monte Lima, Rafael Alves Roberto
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-32 (2024)
Abstract This paper addresses the problem of 6D pose tracking of plane segments from point clouds acquired from a mobile camera. This is motivated by manual packing operations, where an opportunity exists to enhance performance, aiding operators with
Externí odkaz:
https://doaj.org/article/0a25db1041bc4322be788ff09bef03a4
Publikováno v:
Вестник Дагестанского государственного технического университета: Технические науки, Vol 51, Iss 2, Pp 120-127 (2024)
Objective. The article presents the results of a study of tracking algorithms for analyzing a basketball game. The purpose of the work is to determine the optimal method for using athlete tracking when used online.Method. The research is based on met
Externí odkaz:
https://doaj.org/article/c987270aa4824d3b98ea90f26312c271
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7077-7088 (2024)
Abstract The current paradigm of joint detection and tracking still requires a large amount of instance-level trajectory annotation, which incurs high annotation costs. Moreover, treating embedding training as a classification problem would lead to d
Externí odkaz:
https://doaj.org/article/c7404a152873488192b36679c088540a
Autor:
Yiyao Zheng, Xiaoyan Cao, Shaocong Xu, Shihui Guo, Rencai Huang, Yingjiao Li, Yijie Chen, Liulin Yang, Xiaoyu Cao, Zainura Idrus, Hongting Sun
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100584- (2024)
Bees play a crucial role in terrestrial ecosystems. However, beekeepers are unable to monitor the state of beehives (bees and environment) all the time, which often results in bees escaping or even dying. Currently, some researchers provided the sche
Externí odkaz:
https://doaj.org/article/7e23141c236c438d9df117e1c611c9de
Publikováno v:
Royal Society Open Science, Vol 11, Iss 10 (2024)
Monitoring the flight behaviour of mosquitoes is crucial for assessing their fitness levels and understanding their potential role in disease transmission. Existing methods for tracking mosquito flight behaviour are challenging to implement in labora
Externí odkaz:
https://doaj.org/article/fa1a8b4f60924cfaaa13298c792f5643
Publikováno v:
AI, Vol 5, Iss 3, Pp 938-947 (2024)
Multi-object tracking (MOT) aims at estimating locations and identities of objects in videos. Many modern multiple-object tracking systems follow the tracking-by-detection paradigm, consisting of a detector followed by a method for associating detect
Externí odkaz:
https://doaj.org/article/9929e53507ca4941aca1f1909524b9ff
Autor:
WANG Rui, DING Chunshan
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 3, Pp 116-122 (2024)
The main challenge of multi-object tracking (MOT) is identity switch caused by severe occlusion. The solution to identity switching is video object association, which assigns an identity number to the same target in different frames. In this paper, a
Externí odkaz:
https://doaj.org/article/d10b29cf40e1448bb2ca766ba55bc542
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5513-5527 (2024)
Abstract Multi-object tracking (MOT) is a task to identify objects in videos, however, objects with similar appearance or occlusion may cause frequent ID switching, which is the main challenge of current MOT. In this paper, we propose a novel self-cr
Externí odkaz:
https://doaj.org/article/cd254033a37348a789804bcb39942337