Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ali, T M Feroz"'
Autor:
Ali, T M Feroz
In this work, we develop tracking and estimation techniques relevant to underwater targets. Particularly, we explore particle filtering techniques for target tracking. It is a numerical approximation method for implementing a recursive Bayesian estim
Externí odkaz:
http://arxiv.org/abs/1910.04379
Person re-identification addresses the problem of matching pedestrian images across disjoint camera views. Design of feature descriptor and distance metric learning are the two fundamental tasks in person re-identification. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/1910.03923
Autor:
Ali, T M Feroz, Chaudhuri, Subhasis
In video surveillance, person re-identification is the task of searching person images in non-overlapping cameras. Though supervised methods for person re-identification have attained impressive performance, obtaining large scale cross-view labeled t
Externí odkaz:
http://arxiv.org/abs/1910.03905
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
Autor:
Ali, T M Feroz, Chaudhuri, Subhasis
Person re-identification is the task of matching pedestrian images across non-overlapping cameras. In this paper, we propose a non-linear cross-view similarity metric learning for handling small size training data in practical re-ID systems. The meth
Externí odkaz:
http://arxiv.org/abs/1909.11316
Autor:
Ali, T M Feroz, Chaudhuri, Subhasis
In this paper we propose a novel metric learning framework called Nullspace Kernel Maximum Margin Metric Learning (NK3ML) which efficiently addresses the small sample size (SSS) problem inherent in person re-identification and offers a significant pe
Externí odkaz:
http://arxiv.org/abs/1807.10908
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Rashbi K S; Department of Microbiology, Government Medical Collage Kannur, Pariyaram, Kerala, India., Ali TMF; Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India., P N D; Department of Microbiology, Government Medical Collage Kannur, Pariyaram, Kerala, India., C K S; Department of Microbiology, Government Medical Collage Kannur, Pariyaram, Kerala, India., Payyappilly RJ; Department of Microbiology, Government Medical Collage Kannur, Pariyaram, Kerala, India.
Publikováno v:
Access microbiology [Access Microbiol] 2022 Jun 06; Vol. 4 (6), pp. acmi000360. Date of Electronic Publication: 2022 Jun 06 (Print Publication: 2022).
