Výsledky vyhledávání - "Tunc, Alkanat"

Optimizing Train-Test Data for Person Re-Identification in Real-World Applications

Autor: Herman G.J. Groot, Tunc Alkanat, Egor Bondarev, Peter H.N. de With

Publikováno v: ICMVA 2022-5th International Conference on Machine Vision and Applications, 67-75
STARTPAGE=67;ENDPAGE=75;TITLE=ICMVA 2022-5th International Conference on Machine Vision and Applications

Person re-identification (re-ID) aims to recognize an identity in non-overlapping camera views. Recently, re-ID received increased attention due to the growth of deep learning and its prominent applications in the field of automated video surveillanc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33fef4367446bceb27b7e6eb30151c64
https://research.tue.nl/nl/publications/4fb8431d-9662-401f-aed1-be63f1bfc38e

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Towards Scalable Abnormal Behavior Detection in Automated Surveillance

Autor: Herman G.J. Groot, Tunc Alkanat, Egor Bondarev, Matthijs H. Zwemer, Peter H.N. de

Publikováno v: Proceedings-2021 4th International Conference on Artificial Intelligence for Industries, AI4I 2021, 21-24
STARTPAGE=21;ENDPAGE=24;TITLE=Proceedings-2021 4th International Conference on Artificial Intelligence for Industries, AI4I 2021
AI4I

This study presents a scalable automated video surveillance framework that (1) automatically detects the occurrences of abnormal behavior patterns by both pedestrians and vehicles, and (2) directs the focus of the security personnel to the relevant c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f11afbdc5296c18249382c8f4e3079bc
http://www.scopus.com/inward/record.url?scp=85126057606&partnerID=8YFLogxK

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Maritime vessel re-identification

Autor: Amir Ghahremani, Tunc Alkanat, Egor Bondarev, Peter H. N. de With

Publikováno v: Machine Vision and Applications, 32(3):71. Springer

Maritime vessel re-identification (re-ID) is a computer vision task of vessel identity matching across disjoint camera views. Prominent applications of vessel re-ID exist in the fields of surveillance and maritime traffic flow analysis. However, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3497951c1b316e9b314a8c3973b0ea95
http://www.scopus.com/inward/record.url?scp=85104540870&partnerID=8YFLogxK

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Real-time vehicle orientation classification and viewpoint-aware vehicle re-identification

Autor: Oliver Tamas Kocsis, Tunc Alkanat, Egor Bondarev, Peter H.N. de With

Publikováno v: Image Processing: Algorithms and Systems

Vehicle re-identification (re-ID) is based on identity matching of vehicles across non-overlapping camera views. Recently, the research on vehicle re-ID attracts increased attention, mainly due to its prominent industrial applications, such as post-c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::890e5242ae1384a493bc7b2b6ee79706
https://research.tue.nl/en/publications/3cc087e6-c50b-4076-b60b-756b464b5a03

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Multi-Branch Convolutional Descriptors for Content-based Remote Sensing Image Retrieval

Autor: Peter de With, Egor Bondarev, Tunc Alkanat, Raffaele Imbriaco

Publikováno v: VISIGRAPP (5: VISAPP)

Context-based remote sensing image retrieval (CBRSIR) is an important problem in computer vision with many applications such as military, agriculture, and surveillance. In this study, inspired by recent developments in person re-identification, we de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::81d3de489b12c15ac13e4ed2bed2f0a4
https://doi.org/10.5220/0008895702420249

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Automated phenotyping of

Autor: Huseyin, Baris Atakan, Tunc, Alkanat, Matteo, Cornaglia, Raphaël, Trouillon, Martin A M, Gijs

Publikováno v: Microsystemsnanoengineering. 6

The nematode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::c875ac5151938c942295b276e3c432a8
https://pubmed.ncbi.nlm.nih.gov/34567639

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Efficient sparsity-based inversion for photon-sieve spectral imagers with transform learning

Autor: Tunc Alkanat, Ulas Ramaci, Fatih Cagatay Akyon, Figen S. Oktem

Publikováno v: GlobalSIP

We develop an efficient and adaptive sparse reconstruction approach for the recovery of spectral images from the measurements of a photon-sieve spectral imager (PSSI). PSSI is a computational imaging technique that enables higher resolution than conv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff5b7f98d4d619183f56bdf39ab30ed8
https://doi.org/10.1109/globalsip.2017.8309156

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Fast Computation of Two-Dimensional Point-Spread Functions for Photon Sieves

Autor: Tunc Alkanat, Figen S. Oktem

Publikováno v: Imaging and Applied Optics 2016.

A fast and accurate method is developed for the computation of two-dimensional point-spread functions of photon sieves (modified Fresnel zone plates). Using this computation method, we analyze the imaging properties of photon sieves under different d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d2102183f550b6d0cc15de3c507f756
https://doi.org/10.1364/3d.2016.jt3a.34

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Fully-Automatic Target Detection and Tracking for Real-Time, Airborne Imaging Applications

Autor: Sinan Oz, Tunc Alkanat, Emre Tunali

Publikováno v: Communications in Computer and Information Science ISBN: 9783319299709
VISIGRAPP (Selected Papers)

In this study, an efficient, robust algorithm for automatic target detection and tracking is introduced. Procedure starts with a detection phase. Proposed method uses two alternatives for the detection phase, namely maximally stable extremal regions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::86d3df2f4fa911f97b3509ebf8befe97
https://doi.org/10.1007/978-3-319-29971-6_13

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