Zobrazeno 1 - 10
of 395
pro vyhledávání: '"embedded vision"'
Autor:
Kevin F. A. Darras, Marcel Balle, Wenxiu Xu, Yang Yan, Vincent G. Zakka, Manuel Toledo‐Hernández, Dong Sheng, Wei Lin, Boyu Zhang, Zhenzhong Lan, Li Fupeng, Thomas C. Wanger
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 12, Pp 2262-2275 (2024)
Abstract We need comprehensive information to manage and protect biodiversity in the face of global environmental challenges, and artificial intelligence is required to generate that information from vast amounts of biodiversity data. Currently, visi
Externí odkaz:
https://doaj.org/article/73c79530b01444ec9d59cf8a7f548d38
Publikováno v:
IEEE Access, Vol 12, Pp 35539-35551 (2024)
One indispensable element within security systems deployed at public venues such as airports, bus stops, train stations, and marketplaces is video surveillance. The evolution of more robust and efficient automated technological solutions for video su
Externí odkaz:
https://doaj.org/article/c7cacf81070444129dc1f94196e27bd2
Autor:
Shirisha Vadlamudi, Ali Ahmadinia
Publikováno v:
IET Computers & Digital Techniques, Vol 16, Iss 1, Pp 10-18 (2022)
Abstract Motor vehicle crashes involving drowsy driving are huge in number all over the world. Many studies revealed that 10%–30% of crashes are due to drowsy driving. Fatigue has costly effects on the safety, health, and quality of life. This drow
Externí odkaz:
https://doaj.org/article/07a80a48809a478ba30c0b530254ca4d
Publikováno v:
Sensors, Vol 23, Iss 15, p 6949 (2023)
In order for a country’s economy to grow, agricultural development is essential. Plant diseases, however, severely hamper crop growth rate and quality. In the absence of domain experts and with low contrast information, accurate identification of t
Externí odkaz:
https://doaj.org/article/20bd172c17104f8892c07761c6e36a86
Autor:
Ali Köksal, Mustafa Özuysal
Publikováno v:
IET Computer Vision, Vol 13, Iss 5, Pp 507-514 (2019)
The authors propose a novel approach for the description of objects based on contours in their images using real‐valued feature vectors. The approach is particularly suitable when objects of interest have high contrast and texture‐free images or
Externí odkaz:
https://doaj.org/article/062ec33f3e3f42809282ef4ee8b161e2
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Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 6, Pp 51680-51692 (2018)
This paper describes a methodology to select the optimum combination of deep neural network and software framework for visual inference on embedded systems. As a first step, benchmarking is required. In particular, we have benchmarked six popular net
Externí odkaz:
https://doaj.org/article/9617e5817496462fad8eb88be00e07ce
Publikováno v:
Electronics; Volume 12; Issue 11; Pages: 2374
The visual navigation system is an important module in intelligent unmanned aerial vehicle (UAV) systems as it helps to guide them autonomously by tracking visual targets. In recent years, tracking algorithms based on Siamese networks have demonstrat