Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Xu, Yan"'
Publikováno v:
Applied Intelligence. 51:3202-3211
Under the influence of deep learning, many trackers have emerged recently. Among them, Siamese network reaches a pleasant balance between accuracy and speed, but its tracking performance still lags behind other trackers. In this paper, we have propos
Publikováno v:
Earth Science Informatics. 13:1369-1382
The accurate expression of terrain morphology is the essence of the urban terrain model construction. As the skeleton of urban terrain, urban road has special geometric and semantic characteristics. The road is a strip-shaped feature, which is flat i
Publikováno v:
2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA).
Vehicle detection plays a vital role in vehicle assisted driving. Aiming at the low accuracy and missed detection problems of SSD algorithm for vehicle detection, an improved SSD algorithm is proposed. In order to extract more vehicle feature informa
Autor:
Shuai Ma, Licheng Zhu, Ping Yang, Zhenghua Guo, Junlong Wu, Bing Xu, Xu Yan, Lianghua Wen, Shuai Wang
Publikováno v:
Applied optics. 60(2)
Depth estimation is crucial in many light field applications. However, the accuracy of light field depth estimation is prone to be affected by occlusions. In this paper, a method of side window angular coherence is proposed to handle different types
Autor:
Zhejun Feng, Ningjin Na, Changqing Cao, Xu Yan, Ting Wang, Yutao Liu, Xiaodong Zeng, Xiyuan Su, Wenrui Zhang
Publikováno v:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019).
As an effective way to integrate complementary information in multisensor detection system, image fusion technology has been widely used in robotic vision, medical diagnosis and safety monitoring. At the same time, the dual band infrared detection sy
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:2675-2685
Appearance and motion, which are complementary, account for a dominant proportion of visual information. We propose to synergize them using a low-rank representation framework for the estimation and analysis of traffic flow. Taking advantage of the d
Autor:
Aoshuang Dong, Xu Yan
Publikováno v:
2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE).
Face detection is an active research area in the field of computer vision. It can be applied to various applications as the basis of specific fields such as face recognition and human-computer interaction. For a long time, the complex external enviro
Publikováno v:
Journal of Real-Time Image Processing. 16:2367-2378
Efficient velocity estimation is crucial for the robust operation of navigation control loops of micro aerial vehicles (MAVs). Motivated by the research on how animals exploit their visual topographies to rapidly perform locomotion, we propose a bio-
Publikováno v:
Electronics Letters. 55:897-899
Indoor localisation has been a hot research topic because of its importance for location-based services. The proposed method takes affine transformation matrices and inertial information as input vectors to online sequential extreme learning machine
Publikováno v:
Optics and Precision Engineering. 25:509-518