Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ming-xin Jiang"'
Publikováno v:
Complexity, Vol 2019 (2019)
Visual object tracking is a fundamental component in many computer vision applications. Extracting robust features of object is one of the most important steps in tracking. As trackers, only formulated on RGB data, are usually affected by occlusions,
Externí odkaz:
https://doaj.org/article/aebfedba454f46e6beb93d47a3b6f493
Publikováno v:
Complexity, Vol 2018 (2018)
Visual tracking is still a challenging task due to occlusion, appearance changes, complex motion, etc. We propose a novel RGB-D tracker based on multimodal deep feature fusion (MMDFF) in this paper. MMDFF model consists of four deep Convolutional Neu
Externí odkaz:
https://doaj.org/article/bdbfbf4aa9974775a13232d144873bac
Publikováno v:
Complexity, Vol 2018 (2018)
Multiple-object tracking is a challenging issue in the computer vision community. In this paper, we propose a multiobject tracking algorithm in videos based on long short-term memory (LSTM) and deep reinforcement learning. Firstly, the multiple objec
Externí odkaz:
https://doaj.org/article/cc01435e4e9046a9838d405fa60e7e61
Publikováno v:
Acta Automatica Sinica. 38:531-539
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8182bf32c11f1e487a1652261f86293
https://doi.org/10.3724/sp.j.1004.2012.00531
https://doi.org/10.3724/sp.j.1004.2012.00531
Autor:
Hongyu Wang, Ming Xin Jiang
Publikováno v:
Applied Mechanics and Materials. :1336-1339
Reliable tracking of multiple people in cluttered or complex situations is a challenging visual surveillance problem since the high density of objects results in occlusion. In order to deal with this problem, multiple synchronized cameras were mounte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84e93f1e0a39879dcdb395c4d034bd03
https://doi.org/10.4028/www.scientific.net/amm.157-158.1336
https://doi.org/10.4028/www.scientific.net/amm.157-158.1336
Publikováno v:
Applied Mechanics and Materials. :70-75
As a basic aspect of computer vision, reliable tracking of multiple objects is still an open and challenging issue for both theory studies and real applications. A novel multi-object tracking algorithm based on multiple cameras is proposed in this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deea48363c0ea6a6c6660e1d18083040
https://doi.org/10.4028/www.scientific.net/amm.135-136.70
https://doi.org/10.4028/www.scientific.net/amm.135-136.70
Publikováno v:
Molecular medicine reports. 8(2)
Tongue cancer originating on the surface of the tongue is most commonly squamous cell carcinoma, which has a higher invasive ability and a lower survival rate compared with other forms of tongue cancer. Notably, tongue squamous cell carcinomas metast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1be242f1bba128cfd891691209ff6248
https://pubmed.ncbi.nlm.nih.gov/23807215
https://pubmed.ncbi.nlm.nih.gov/23807215
Publikováno v:
Mathematical Problems in Engineering, Vol 2013 (2013)
We present an online object tracking algorithm based on feature grouping and two-dimensional principal component analysis (2DPCA). Firstly, we introduce regularization into the 2DPCA reconstruction and develop an iterative algorithm to represent an o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e8fcd4c9fdf670a92f11c6957eaf359
Publikováno v:
Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology. 29(2)
To evaluate the marginal microleakage of porcelain-fused-to-metal crown using four different cements.Sixteen porcelain-fused-to-metal crowns were built and randomly divided into 4 group, luted onto standard prepared human forward molars using four di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8c808de2a1c14f8c03a2376357bbcec2
https://pubmed.ncbi.nlm.nih.gov/21598490
https://pubmed.ncbi.nlm.nih.gov/21598490
Publikováno v:
International Journal of Image and Graphics. 12:1250020
Object tracking is one of the key techniques in computer vision. Present algorithms are mainly implemented in static platforms. In this paper, we propose a novel technique for real-time object tracking in videos captured by cameras on moving platform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77c54196fc263e09a181c28ff37cbfd0
https://doi.org/10.1142/s0219467812500209
https://doi.org/10.1142/s0219467812500209