Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Binu M. Nair"'
Publikováno v:
Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020).
Autor:
Olusegun Oshin, Edward Tunstel, Varma Richa, Richard W. Osborne, Binu M. Nair, Edgar A. Bernal, Francesca Stramandinoli, Jerry Ding
Publikováno v:
SMC
Human-robot collaboration towards achieving a common goal is most effective when the robot has the capability to estimate the intentions and needs of its human partner, and to plan complementary actions accordingly. To this end, synergistic coupling
Publikováno v:
Electronic Imaging. 29:37-44
Autor:
Kimberly D. Kendricks, Binu M. Nair
Publikováno v:
Electronic Imaging. 28:1-8
Publikováno v:
Communications in Theoretical Physics. 72:105205
We revisit the novel symmetries in $\mathcal{N}$ = 2 supersymmetric (SUSY) quantum mechanical (QM) models by considering specific examples of coupled systems. Further, we extend our analysis to a general case and list out all the novel symmetries. In
Autor:
Theus H. Aspiras, Vijayan K. Asari, Richard C. Tompkins, Yakov Diskin, Binu M. Nair, Jacob Foytik
Publikováno v:
Complex Adaptive Systems
We propose a real time system for person detection, recognition and tracking using frontal and profile faces. The system integrates face detection, face recognition and tracking techniques. The face detection algorithm uses both frontal face and prof
Autor:
Binu M. Nair
Publikováno v:
Advances in Visual Computing ISBN: 9783319508313
ISVC (2)
ISVC (2)
We propose a deep neural network which captures latent temporal features suitable for localizing actions temporally in streaming videos. This network uses unsupervised generative models containing autoencoders and conditional restricted Boltzmann mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb164987cf86205243087ced9acfac1c
https://doi.org/10.1007/978-3-319-50832-0_15
https://doi.org/10.1007/978-3-319-50832-0_15
Autor:
Kimberly D. Kendricks, Binu M. Nair
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783319259024
ACIVS
ACIVS
We propose an Improved Region-based Kalman filter to estimate fine precise body joint trajectories to facilitate gait analysis from low resolution surveillance cameras. This is important because existing pose estimation and tracking techniques obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41ae95531c01e7aabbb64c86ae222120
https://doi.org/10.1007/978-3-319-25903-1_27
https://doi.org/10.1007/978-3-319-25903-1_27
Publikováno v:
SPIE Proceedings.
We propose a real-time novel framework for tracking specific joints in the human body on low resolution imagery using optical flow based Kalman tracker without the need of a depth sensor. Body joint tracking is necessary for a variety of surveillance
Publikováno v:
Advances in Visual Computing ISBN: 9783319142487
ISVC (1)
ISVC (1)
We propose a region-based body joint tracking scheme to track and estimate continuous joint locations in low resolution imagery where the estimated trajectories can be analyzed for specific gait signatures. The true transition between the joint state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04956f59a9bb7b84c85e44ef53004ede
https://doi.org/10.1007/978-3-319-14249-4_59
https://doi.org/10.1007/978-3-319-14249-4_59