Zobrazeno 1 - 10
of 649
pro vyhledávání: '"Video recognition"'
Publikováno v:
Royal Society Open Science, Vol 11, Iss 9 (2024)
Referring to things that are displaced in space and time is one of the defining features of human language. In order to better understand the evolution of human language, it is therefore important to explore how widely the ability for displaced refer
Externí odkaz:
https://doaj.org/article/526bc520dab841e785ca5734c52611cf
Autor:
Hai Chuan Liu, Anis Salwa Mohd Khairuddin, Joon Huang Chuah, Xian Min Zhao, Xiao Dan Wang, Li Ming Fang
Publikováno v:
IEEE Access, Vol 12, Pp 161296-161311 (2024)
Enhancing video recognition systems with advanced abnormal behavior recognition technologies is crucial for school safety and campus security. Traditional methods primarily rely on visual data and often fail to recognize complex behaviors due to intr
Externí odkaz:
https://doaj.org/article/4f882c35e8cc4358acea2e1bec6f1ede
Publikováno v:
IEEE Access, Vol 12, Pp 101851-101864 (2024)
Image and video classification are distinct tasks in computer vision. Three-dimensional convolutional neural networks (3D CNNs) are commonly employed for video classification, while two-dimensional convolutional neural networks (2D CNNs) are more sui
Externí odkaz:
https://doaj.org/article/d69680d3989e4eef9e1c7f13ce2277c2
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 11, Pp 1-21 (2023)
Intelligence is the direction of coal mine development, and intelligent video analysis is an effective way to promote coal mine intelligence. The mine-wide intelligent video analysis technology has real-time monitoring, early warning, and decision su
Externí odkaz:
https://doaj.org/article/44f30d52603745cd936519e7ba298ea7
Publikováno v:
Компьютерная оптика, Vol 47, Iss 4, Pp 637-649 (2023)
The construction of models for video action classification progresses rapidly. However, the performance of those models can still be easily improved by ensembling with the same models trained on different modalities (e.g. Optical flow). Unfortunately
Externí odkaz:
https://doaj.org/article/af4310751a1d4d4fa3b112a2f21ed5bd
Publikováno v:
Zhejiang dianli, Vol 42, Iss 5, Pp 105-112 (2023)
The detection of traffic congestion is now realized mostly by human monitoring and sensor monitoring. However， such detection devices are deficient in road-occupied electric power construction. To meet the needs of low equipment dependency and high
Externí odkaz:
https://doaj.org/article/e7ea490776ff47e2a462c27bf09d44ba
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
The UAV inspection method is gradually becoming popular in transmission line inspection, but it is inefficient only through real-time manual observation. Algorithms are available to achieve automatic image identification, but the detection speed is s
Externí odkaz:
https://doaj.org/article/6098c100e41444a99012e8e6a9041bab
Autor:
Zhenzhi Wu, Yangshu Shen, Jing Zhang, Huaju Liang, Rongzhen Zhao, Han Li, Jianping Xiong, Xiyu Zhang, Yansong Chua
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Brain-inspired deep spiking neural network (DSNN) which emulates the function of the biological brain provides an effective approach for event-stream spatiotemporal perception (STP), especially for dynamic vision sensor (DVS) signals. However, there
Externí odkaz:
https://doaj.org/article/0b1c03889fe64c1c872d47d14ec25be0
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