Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Zulfiqar Hasan Khan"'
Autor:
Tanvir Ahmed, Pulak Das Gupta, Zulfiqar Hasan Khan, Harinarayan Das, Tasnim Akbar Faruquee, Mahabub Alam Bhuiyan, Syed Farid Uddin Farhad, Ishtiaque M. Syed, Aminul I. Talukder, Md. Wahadoszamen
Publikováno v:
Results in Physics, Vol 64, Iss , Pp 107889- (2024)
In this study, we investigated the size- and shape-dependent optical nonlinearity of silver nanoparticles (AgNPs), and their modulation upon mixing with 2D ZnO nanoflakes (ZnONFs) using a Z-scan technique powered by a continuous-wave 514.5 nm Ar-ion
Externí odkaz:
https://doaj.org/article/334bc87c238f4c1c846720b0fd29f217
Autor:
Abul Fazal Mohammed Yusuf Haider, Nabil Md Rakinul Hoque, Arifur Rahaman, Zulfiqar Hasan Khan
Publikováno v:
Journal of Bangladesh Academy of Sciences. 46:175-183
Lifetimes of the upper states of excited oxygen atoms corresponding to transitions to the common lower state in the case of the emission lines around 777 nm and 844 nm have been estimated by measuring the line intensities as a function of the delay t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::520fe528a9e1d8701337ec165fbbd12b
https://doi.org/10.3329/jbas.v46i2.63416
https://doi.org/10.3329/jbas.v46i2.63416
Autor:
Irene Yu-Hua Gu, Zulfiqar Hasan Khan
Publikováno v:
Computer Vision and Image Understanding. 125:97-114
This paper proposes a novel online domain-shift appearance learning and object tracking scheme on a Riemannian manifold for visual and infrared videos, especially for video scenarios containing large deformable objects with fast out-of-plane pose cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47585d988dc3e33dbd4d4a3b2dbb45c3
https://doi.org/10.1016/j.cviu.2014.03.013
https://doi.org/10.1016/j.cviu.2014.03.013
Autor:
Irene Yu-Hua Gu, Zulfiqar Hasan Khan
Publikováno v:
IEEE Transactions on Cybernetics. 43:2005-2019
This paper proposes a novel Bayesian online learning and tracking scheme for video objects on Grassmann manifolds. Although manifold visual object tracking is promising, large and fast nonplanar (or out-of-plane) pose changes and long-term partial oc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::367244c4bac6c04362624fe20f1c11c3
https://doi.org/10.1109/tsmcb.2013.2237900
https://doi.org/10.1109/tsmcb.2013.2237900
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 21:74-87
This paper addresses issues in object tracking where videos contain complex scenarios. We propose a novel tracking scheme that jointly employs particle filters and multi-mode anisotropic mean shift. The tracker estimates the dynamic shape and appeara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7be8d3930d5129492ca80538f07cb2c8
https://doi.org/10.1109/tcsvt.2011.2106253
https://doi.org/10.1109/tcsvt.2011.2106253
Publikováno v:
Journal of Signal Processing Systems. 65:63-79
This paper addresses the issue of tracking a single visual object through crowded scenarios, where a target object may be intersected or partially occluded by other objects for a long duration, experience severe deformation and pose changes, and diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6a171723f024b778d8e5a87789fea9f
https://doi.org/10.1007/s11265-010-0539-9
https://doi.org/10.1007/s11265-010-0539-9
Autor:
Irene Yu-Hua Gu, Zulfiqar Hasan Khan
Publikováno v:
IEEE Transactions on Information Forensics and Security. 5:591-606
A novel visual object tracking scheme is proposed by using joint point feature correspondences and object appearance similarity. For point feature-based tracking, we propose a candidate tracker that simultaneously exploits two separate sets of point
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c5cafa43b10ee53a5ca5556002c5ae
https://doi.org/10.1109/tifs.2010.2050312
https://doi.org/10.1109/tifs.2010.2050312
Autor:
Zulfiqar Hasan Khan, Irene Yu-Hua Gu
Publikováno v:
ICDSC
Visual object tracking from single cameras is often employed as the basic block in a multi-camera tracking environment, and its performance naturally affacts the multi-camera tracking system. Online learning of object model is essential for mitigatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5c6934058f53ee1fa421f58dda3ac16
https://doi.org/10.1145/2659021.2659041
https://doi.org/10.1145/2659021.2659041
Autor:
Zulfiqar Hasan Khan, Irene Yu-Hua Gu
Publikováno v:
2014 International Conference on Signal Processing and Integrated Networks (SPIN).
This paper describes a novel domain-shift tracking scheme that includes Bayesian formulation on the Grass-mann/Riemannian manifold for tracking, and domain-shift online object learning as well as occlusion handling on the manifold. Since out-of-plane
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::523b61983adbbba72c639b5bd212c485
https://doi.org/10.1109/spin.2014.6776949
https://doi.org/10.1109/spin.2014.6776949
Publikováno v:
2014 International Conference on Signal Processing and Integrated Networks (SPIN).
This paper addresses two issues for mitigating driver distraction/inattention by using novel video analysis techniques: (a) inside an ego vehicle, driver inattention is monitored through first tracking drivers face/eye region using Riemannian manifol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07c3be9e31220191281d02ae715babdd
https://doi.org/10.1109/spin.2014.6776946
https://doi.org/10.1109/spin.2014.6776946