Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Duansheng Chen"'
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0161808 (2016)
To achieve effective visual tracking, a robust feature representation composed of two separate components (i.e., feature learning and selection) for an object is one of the key issues. Typically, a common assumption used in visual tracking is that th
Externí odkaz:
https://doaj.org/article/1b03f16b1e914095b55645d799ef2c5b
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 13:1-17
Label imbalance and the insufficiency of labeled training samples are major obstacles in most methods for counting people in images or videos. In this work, a sparse representation-based semi-supervised regression method is proposed to count people i
Publikováno v:
International Journal of Applied Electromagnetics and Mechanics. 52:999-1006
Publikováno v:
Sensors, Vol 19, Iss 19, p 4129 (2019)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
The fields of human activity analysis have recently begun to diversify. Many researchers have taken much interest in developing action recognition or action prediction methods. The research on human action evaluation differs by aiming to design compu
Autor:
Zhen Cui, Yingju Shen, Tian Wang, Duansheng Chen, Hong-Bo Zhang, Xiangnan Yang, Bineng Zhong, Cheng Wang, Xiaopeng Hong
Publikováno v:
Neurocomputing. 215:118-127
Object tracking has a wide range of applications and great efforts have been spent to build the object appearance model using image features encoded in a vector as observations. Since a video or image sequence is intrinsically a multi-dimensional mat
Publikováno v:
Multimedia Tools and Applications. 76:16767-16782
The cartoon-like stylization of color video images is one of the major types of non-photorealistic rendering. It has broad applications in the entertainment industry due to its lively style, flexible form, and autonomous creation. Our video cartooniz
Publikováno v:
IET Computer Vision. 10:528-536
In this study, the authors investigate the possibility of boosting action recognition performance by exploiting the associated scene context. Towards this end, the authors model a scene as a mid-level `middle layer' in order to bridge action descript
Publikováno v:
Applied Soft Computing. 38:1088-1098
Object appearance model is a crucial module for object tracking and numerous schemes have been developed for object representation with impressive performance. Traditionally, the features used in such object appearance models are predefined in a hand
Autor:
Wenming Zheng, Shu-Juan Peng, Zhen Cui, Jin Gou, Xin Liu, Xie Weibo, Hong-Bo Zhang, Yingju Shen, Ji-Xiang Du, Jing Wang, Bineng Zhong, Duansheng Chen, Yan Chen, Tian Wang
Publikováno v:
Neurocomputing. 151:710-718
In this paper, we study the challenging problem of tracking single object in a complex dynamic scene. In contrast to most existing trackers which only exploit 2D color or gray images to learn the appearance model of the tracked object online, we take
Publikováno v:
Journal of Software. 10:20-31
Semantic similarity measurement of multilingual words is a challenging problem in data mining, information extraction, information retrieval, etc. This paper introduces an algorithm to measure the semantic similarity of Chinese-English bilingual word