Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Wan, Jiuqing"'
Autor:
Wan, Jiuqing, Xing, Menglin
In this paper, we address the problem of person re-identification problem, i.e., retrieving instances from gallery which are generated by the same person as the given probe image. This is very challenging because the person's appearance usually under
Externí odkaz:
http://arxiv.org/abs/1506.06905
One of the fundamental requirements for visual surveillance using smart camera networks is the correct association of each persons observations generated on different cameras. Recently, distributed data association that involves only local informatio
Externí odkaz:
http://arxiv.org/abs/1501.04754
Autor:
Wan, Jiuqing, Liu, Li
One of the fundamental requirements for visual surveillance using non-overlapping camera networks is the correct labeling of tracked objects on each camera in a consistent way,in the sense that the captured tracklets, or observations in this paper, o
Externí odkaz:
http://arxiv.org/abs/1306.0974
Autor:
Wan Jiuqing, Li Achuan
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
We present a novel framework for multiple pedestrian tracking using overlapping cameras in which the problems of object detection and data association are solved alternately. In each round of our algorithm, the people are detected by inference on a f
Externí odkaz:
https://doaj.org/article/1807aaeb20384df3af2c3b230a37869c
Publikováno v:
Information Fusion. 39:120-138
One of the fundamental requirements for pedestrian surveillance using smart camera network is the correct association of each person's observations generated on different camera nodes to the person's track. Recently, distributed data association meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebe12704b426ceb9c5c66f7e0ee77701
https://doi.org/10.1016/j.inffus.2017.04.007
https://doi.org/10.1016/j.inffus.2017.04.007
Akademický článek
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Publikováno v:
Machine Vision and Applications. 28:859-874
In this work, we propose a new joint detection and tracking method for cell tracking. First, we develop a new procedure for generating an over-complete set of detection hypotheses via ellipse fitting, and then, we define several local events and thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620c5abe655b0c422dfce2e55d72f5cf
https://doi.org/10.1007/s00138-017-0872-0
https://doi.org/10.1007/s00138-017-0872-0
Akademický článek
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Autor:
Xing Menglin, Wan Jiuqing
Publikováno v:
ICDSC
In this paper, we address the problem of person re-identification problem, i.e., retrieving instances from gallery which are generated by the same person as the given probe image. This is very challenging because the person's appearance usually under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42e91479e45a6cad29b096f6b7a0b2ba
https://doi.org/10.1145/2789116.2789134
https://doi.org/10.1145/2789116.2789134
Akademický článek
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