Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Wen Jiang Xiang"'
2
Detection of vehicle line pressing on straight lane based on Cascade Hough transform principle and improved YOLOV5 model
Autor: chen zhu, Dong-Yuan Ge, Xifan Yao, Wen-Jiang Xiang, Jian Li, Yong-Xiang Li
In this study, a detection method based on the Cascaded Hough Transform (or CHT for short) and an improved YOLOV5 model is proposed for the detection of vehicle pressing lines in straight lanes. This method combines traditional image processing with
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18e56ce82948106923c2286cc35c278e
https://doi.org/10.22541/au.167696190.04606505/v1
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3
Zebra-crossing detection based on cascaded Hough transform principle and vanishing point characteristics
Autor: Chen Zhu, Dong-Yuan Ge, Xi-Fan Yao, Wen-Jiang Xiang, Jian Li, Yong-Xiang Li
Publikováno v: Open Computer Science. 13
In this study, a zebra-crossing detection method based on cascaded Hough transform (CHT) and vanishing point (VP) characteristics is proposed. In this method, the principle of detecting straight lines in the parallel coordinate system is applied to z
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::887ed4e5a41e1d00a820e209a5db12be
https://doi.org/10.1515/comp-2022-0260
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6
Theory and Method of Data Collection for Mixed Traffic Flow Based on Image Processing Technology
Autor: En-Chen Liu, Xifan Yao, Zhi-Bin Xu, Dong-yuan Ge, Wen-Jiang Xiang
Publikováno v: Mathematical Problems in Engineering, Vol 2021 (2021)
As a key element of ITS (intelligent traffic systems), traffic information collection facilities play a key role, with ITS being able to analyze the state of mixed traffic more appropriately and can provide effective technical support for the design,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::309278b80c2a0af5bdb6e4dc462b2b25
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8
Design of High Accuracy Detector for MNIST Handwritten Digit Recognition Based on Convolutional Neural Network
Autor: Xue-jun Wen, Wen-Jiang Xiang, Dong-yuan Ge, En-Chen Liu, Xifan Yao
Publikováno v: 2019 12th International Conference on Intelligent Computation Technology and Automation (ICICTA).
Tremendous strides have been made in machine learning, one of the remaining open challenges is to achieve real-time speed as well as to maintain high performance, A convolutional neural network is designed for MNIST handwritten digit recognition, whe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fdccdaa02df6f08430845d2bc64afb1c
https://doi.org/10.1109/icicta49267.2019.00145
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9
Feature similarity measurement of cross-age face images based on a deep learning algorithm
Autor: Xifan Yao, Zhi bin Xu, En chen Liu, Dong yuan Ge, Wen Jiang Xiang
Publikováno v: International Journal of Biometrics. 13:272
In order to overcome the problem of low accuracy of traditional facial image feature similarity measurement methods, the paper proposes a new cross-age facial image feature similarity measurement method based on a deep learning algorithm. Face segmen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::164d5ab6dd7b40d11607da6d5432a5ed
https://doi.org/10.1504/ijbm.2021.10036140
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