Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Yunyang Yan"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-14 (2018)
Abstract For compressive tracking (CT) algorithm, it is vulnerable to the occlusion, when tracking targets. An improved CT algorithm based on target division and feature point matching is proposed in this paper, which can determine different target t
Externí odkaz:
https://doaj.org/article/8dee12eafd314f559c88e6ad8eb8285f
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
To improve the visual quality and the embedding rate of the existing reversible image watermarking algorithm, an improved reversible image watermarking algorithm based on difference expansion is proposed. First, the watermark information is divided i
Externí odkaz:
https://doaj.org/article/5b6575a7a4f1420fa34dbf2662efd25d
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-14
Zero-Shot Learning (ZSL) has made significant progress driven by deep learning and is being promoted further with the advent of generative models. Despite the success of these methods, the type and number of unseen categories are nailed in the genera
Publikováno v:
ITM Web of Conferences. 45:02012
To solve the problem that complex radar emitter signals are difficult to identify under low signal-to-noise ratio, this paper proposes a novel radar signal recognition method based on an improved deep residual network. In this method, two IQ signals
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-14 (2018)
For compressive tracking (CT) algorithm, it is vulnerable to the occlusion, when tracking targets. An improved CT algorithm based on target division and feature point matching is proposed in this paper, which can determine different target tracking s
Publikováno v:
Arabian Journal for Science and Engineering. 43:979-992
In order to improve the robustness of existing reversible watermarking algorithms and strengthen the imperceptibility of watermarked images, a robust reversible watermarking algorithm based on redundant integer wavelet transform and compressed sensin
Publikováno v:
Computing in Science & Engineering. 19:30-43
Semisupervised DR techniques using virtual label regression have attracted considerable attention, but they suffer from two restrictions: the number of discriminant directions available is constrained to the number of classes, and they’re nonorthog
Publikováno v:
Multimedia Tools and Applications. 76:14829-14846
Many traffic accidents occurred at intersections are caused by drivers who miss or ignore the traffic signals. In this paper, we present a method dealing with automatic detection of traffic lights that integrates both image processing and support vec
Publikováno v:
International Journal of Hybrid Information Technology. 9:275-282
Flame edge detection from color images is a challenging research area recently. In this paper, an extension of active contour model is proposed by adding the two information types to both internal and external energy terms. Therefore, the combination
Autor:
Min Yan, Yunyang Yan
Publikováno v:
2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES).
Rules in color model is an important method to identify candidate fire region. If the candidate fire region is not correct, the features extracted in subsequent steps are wrong. In this paper, a combination of constraint rules based on RGB and YCbCr