Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Mayire Ibrayim"'
Publikováno v:
Information, Vol 14, Iss 7, p 369 (2023)
Text recognition is an important research topic in computer vision. Scene text, which refers to the text in real scenes, sometimes needs to meet the requirement of attracting attention, and there is the situation such as deformation. At the same time
Externí odkaz:
https://doaj.org/article/981408c576544261b9dbb68ed636cf98
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272322 (2022)
With the advent of the era of artificial intelligence, text detection is widely used in the real world. In text detection, due to the limitation of the receptive field of the neural network, most existing scene text detection methods cannot accuratel
Externí odkaz:
https://doaj.org/article/6e97c857f25b47d799a9de6a811c2292
Publikováno v:
Sensors, Vol 22, Iss 16, p 6262 (2022)
Scene text detection refers to locating text regions in a scene image and marking them out with text boxes. With the rapid development of the mobile Internet and the increasing popularity of mobile terminal devices such as smartphones, the research o
Externí odkaz:
https://doaj.org/article/8acb440f76094fb3ab005c7ce9e8649b
Publikováno v:
Information, Vol 13, Iss 7, p 332 (2022)
Uyghur text detection and recognition in images with simple backgrounds is still a challenging task for Uyghur image content analysis. In this paper, we propose a new effective Uyghur text detection method based on channel-enhanced MSERs and the CNN
Externí odkaz:
https://doaj.org/article/7e4e5c37080646ce927e74c4d127b5be
Publikováno v:
Sensors, Vol 22, Iss 13, p 4704 (2022)
Pine wilt nematode disease is a devastating forest disease that spreads rapidly. Using drone remote sensing to monitor pine wilt nematode trees promptly is an effective way to control the spread of pine wilt nematode disease. In this study, the YOLOv
Externí odkaz:
https://doaj.org/article/f72410d7c83b457880c9d51fa4e43fc3
Publikováno v:
Information, Vol 13, Iss 4, p 184 (2022)
To solve the problem of the redundant number of training samples in a correlation filter-based tracking algorithm, the training samples were implicitly extended by circular shifts of the given target patches, and all the extended samples were used as
Externí odkaz:
https://doaj.org/article/76d8d6eda8754fac8211d49e3ce82376
Publikováno v:
Sensors, Vol 22, Iss 9, p 3337 (2022)
With humanity entering the age of intelligence, text detection technology has been gradually applied in the industry. However, text detection in a complex background is still a challenging problem for researchers to overcome. Most of the current algo
Externí odkaz:
https://doaj.org/article/49202aaddd30481b881795ffc4c39932
Publikováno v:
Information, Vol 13, Iss 3, p 131 (2022)
Target tracking has always been an important research direction in the field of computer vision. The target tracking method based on correlation filtering has become a research hotspot in the field of target tracking due to its efficiency and robustn
Externí odkaz:
https://doaj.org/article/c85a6f5fef1740daa7a317006fd12915
Publikováno v:
Sensors, Vol 22, Iss 5, p 1879 (2022)
Aiming at the problems of target model drift or loss of target tracking caused by serious deformation, occlusion, fast motion, and out of view of the target in long-term moving target tracking in complex scenes, this paper presents a robust multi-fea
Externí odkaz:
https://doaj.org/article/6b3464fd59774211828e05b8a73e83ff
Publikováno v:
Information, Vol 12, Iss 12, p 524 (2021)
In the last years, methods for detecting text in real scenes have made significant progress with an increase in neural networks. However, due to the limitation of the receptive field of the central nervous system and the simple representation of text
Externí odkaz:
https://doaj.org/article/e02ab6e84d0e494791f4ebcd2f32a820