Zobrazeno 1 - 10
of 73
pro vyhledávání: '"bytetrack"'
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e32708- (2024)
This paper proposes an efficient electric bicycle tracking algorithm, EBTrack, utilizing the high-precision and lightweight YOLOv7 as the target detector to enhance the efficiency of illegal detection and recognition of electric bicycles. The EBTrack
Externí odkaz:
https://doaj.org/article/e83ef0d6f62a4f2180129cefe8f6a07f
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 3, Pp 82-91 (2024)
The application of artificial intelligence technology can real-time recognize the behavior of key position personnel in coal mines, such as mine hoist drivers, to prevent dangerous situations such as equipment misoperation. It is of great significanc
Externí odkaz:
https://doaj.org/article/c1bf82fb9d4f4a5bb59dee005e2e4a85
Publikováno v:
IEEE Access, Vol 12, Pp 121723-121737 (2024)
The average daily traffic survey is essential for repairing and maintaining road sections. This method is generally conducted using a semi-manual approach that counts vehicles using CCTV. This approach is not effective or efficient because of the pot
Externí odkaz:
https://doaj.org/article/c3e37cac63d14a58a4d609225604dccd
Autor:
Yingyun Wang, Vladimir Y. Mariano
Publikováno v:
IEEE Access, Vol 12, Pp 120711-120719 (2024)
In recent years, the YOLOv8 series algorithms have become a research hotspot in many fields, and they can perform excellently in different computer vision tasks. However, YOLOv8 still has room for improvement in multi-target tracking. We integrated i
Externí odkaz:
https://doaj.org/article/0720f7d1a7db4c208d52eb052c01e666
Publikováno v:
IEEE Access, Vol 12, Pp 83091-83103 (2024)
As Computer Vision technology has evolved rapidly these days, the implementation of object detection and instance segmentation has been presented in various areas. In computer-aided laparoscopic surgery, the segmentation of surgical instruments is on
Externí odkaz:
https://doaj.org/article/c8cec89f12dd4c568a0d91747c02ce18
Publikováno v:
Animals, Vol 14, Iss 22, p 3299 (2024)
Daily behavioral analysis of group-housed pigs provides critical insights into early warning systems for pig health issues and animal welfare in smart pig farming. In this study, our main objective was to develop an automated method for monitoring an
Externí odkaz:
https://doaj.org/article/14b8e98019d2433f9a7c4bee0117ee52
Publikováno v:
Drones, Vol 8, Iss 11, p 650 (2024)
Given the recent proliferation of Unmanned Aerial Systems (UASs) and the consequent importance of counter-UASs, this project aims to perform the detection and tracking of small non-cooperative UASs using Electro-optical (EO) and Infrared (IR) sensors
Externí odkaz:
https://doaj.org/article/f14d390fb56841998de60412b8f23f8f
Publikováno v:
Plants, Vol 13, Iss 19, p 2808 (2024)
Accurately detecting the maturity and 3D position of flowering Chinese cabbage (Brassica rapa var. chinensis) in natural environments is vital for autonomous robot harvesting in unstructured farms. The challenge lies in dense planting, small flower b
Externí odkaz:
https://doaj.org/article/c672196068884ef0af973e9244747149
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6650 (2024)
This study aims to enhance the detection accuracy and efficiency of cotton bolls in complex natural environments. Addressing the limitations of traditional methods, we developed an automated detection system based on computer vision, designed to opti
Externí odkaz:
https://doaj.org/article/af9854020d014ae6abd4a7e84d266e81
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5321 (2024)
At present, catch statistics in the pelagic fishery industry rely mainly on manual counting methods. However, this method suffers from low statistical accuracy and insufficient timeliness. An automatic tuna counting approach based on ByteTrack and YO
Externí odkaz:
https://doaj.org/article/19cf379fa8e24e8bbed7976deb9c60fd