Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Harish Bhaskar"'
Autor:
Lyudmila Mihaylova, Harish Bhaskar
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/f797822b9f8e4a71a60f0c089e8c802b
Publikováno v:
IEEE Transactions on Cybernetics. 50:1655-1668
Multiview learning has received extensive research interest and has demonstrated promising results in recent years. Despite the progress made, there are two significant challenges within multiview learning. First, some of the existing methods directl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be00e377f41c0a859869cd2b6e0d7606
https://doi.org/10.1109/tcyb.2018.2883673
https://doi.org/10.1109/tcyb.2018.2883673
Publikováno v:
Multimedia Tools and Applications. 79:1781-1799
The problem of understanding socio-cognitive aspects of crowd behavior is a challenging yet critical task particularly for human-computer interaction applications. This issue is considered an important component of both current surveillance systems a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f0ac72ace87f20af34af2689e2dc9d1
https://doi.org/10.1007/s11042-019-08201-z
https://doi.org/10.1007/s11042-019-08201-z
Publikováno v:
Engineering Applications of Artificial Intelligence. 82:294-312
Monitoring and inferring socio-cognitive behaviors through crowd analysis can help us to understand many processes. Be it people in crowded environments, road traffic or even a flock of fish, situational awareness becomes critical for creating adequa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d55681ddf355e1e284a4514c34c286
https://doi.org/10.1016/j.engappai.2019.04.012
https://doi.org/10.1016/j.engappai.2019.04.012
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:2836-2848
Tracking visual targets in an unconstrained environment is challenging due to variations in illumination, scale, occlusion, and motion blur, for example. Many video applications that utilize particle filter-based visual target trackers require tracki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae4c3ad51a4f8cc24ea2348b133a3334
https://doi.org/10.1109/tcsvt.2017.2725322
https://doi.org/10.1109/tcsvt.2017.2725322
Publikováno v:
Neurocomputing. 275:1801-1812
The discriminative ability of dictionary learning algorithms plays a crucial role in various computer vision applications, particularly in visual object tracking. In this paper, a novel visual tracking algorithm based on an online discriminative dict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d467fc1ce32a76796cba68934642e7
https://doi.org/10.1016/j.neucom.2017.10.019
https://doi.org/10.1016/j.neucom.2017.10.019
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 27:2153-2164
Visual tracking is complicated due to factors, such as occlusion, background clutter, abrupt target motion, and illumination variations, among others. In recent years, subspace representation and sparse coding techniques have demonstrated significant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaf994adeff31867b208e1b40a02c7f0
https://doi.org/10.1109/tcsvt.2016.2576941
https://doi.org/10.1109/tcsvt.2016.2576941
Publikováno v:
Multimedia Tools and Applications. 77:16223-16248
Motion anomaly detection through video analysis is important for delivering autonomous situation awareness in public places. Surveillance scene segmentation and representation is the preliminary step to implementation anomaly detection. Surveillance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d305f084e675f01403542f996c29273
https://doi.org/10.1007/s11042-017-5196-6
https://doi.org/10.1007/s11042-017-5196-6
Publikováno v:
Knowledge-Based Systems. 131:83-104
In this paper, we propose a novel articulated pose estimation framework for the simultaneous detection of the human as a whole and their constituent body parts in crowded scenes. The model uses a single discriminative classifier that searches for dep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::202a12991d979f7f199d5cd8e1a799ce
https://doi.org/10.1016/j.knosys.2017.06.001
https://doi.org/10.1016/j.knosys.2017.06.001
Publikováno v:
ACM Computing Surveys. 49:1-49
In this article, a detailed survey of the quantum approach to image processing is presented. Recently, it has been established that existing quantum algorithms are applicable to image processing tasks allowing quantum informational models of classica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98c4cedec67dbede9cc14a7f656ac510
https://doi.org/10.1145/3009965
https://doi.org/10.1145/3009965