Zobrazeno 1 - 10
of 67
pro vyhledávání: '"D. Srihari"'
Publikováno v:
IEEE Access, Vol 12, Pp 55264-55280 (2024)
‘Ballet’ is a $15^{th}$ - century concert performing dance form that originated in Italy. Current AI models for ballet dance pose identification in live performance videos is challenging due to variational pixel distribution of human actions acro
Externí odkaz:
https://doaj.org/article/ba38764b59774c6db175073f8bf0a974
Autor:
P. V. V. Kishore, D. Anil Kumar, Rama Chaithanya Tanguturi, K. Srinivasarao, P. Praveen Kumar, D. Srihari
Publikováno v:
IEEE Access, Vol 12, Pp 11258-11275 (2024)
Previous works on 3D joint based feature representations of the human body as colour coded images (maps) were developed based on the joint positions, distances and angles or a combination of them for applications such as human action (sign language)
Externí odkaz:
https://doaj.org/article/674dd630f42a4700809879329f51bf0c
Autor:
A. Himabindu, D. Srihari, M. Rajasekhar, V. Sudhavani, P. Subbarammamma, K. Uma Krishna and, M. Paratpara Rao
Publikováno v:
Electronic Journal of Plant Breeding, Vol 8, Iss 3, Pp 772-778 (2017)
An experiment was conducted at Horticultural research station, Venkataramannagudem, Andhra Pradesh to analyze the genetic diversity among thirty four cultivars using principal component analysis for thirty quantitative characters in mango. In the pre
Externí odkaz:
https://doaj.org/article/89a88b937d824513aab9876e9daa6049
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811964725
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1722f4a6ffd3fdf1236eab861ea1195c
https://doi.org/10.1007/978-981-19-6470-1_5
https://doi.org/10.1007/978-981-19-6470-1_5
Autor:
P. V. V. Kishore, M. Teja Kiran Kumar, M. V. D. Prasad, Ch. Raghava Prasad, D. Anil Kumar, D. Srihari, E. Kiran Kumar
Publikováno v:
Multimedia Tools and Applications. 79:11723-11746
Appearance and depth-based action recognition has been researched exclusively for improving recognition accuracy by considering motion and shape recovery particulars from RGB-D video data. Convolutional neural networks (CNN) have shown evidences of s
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 8:2051-2061
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 8:3004-3014
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 8:2983-2994