Jekyll2026-03-12T16:00:11+03:00https://cvrg-iyte.github.io/feed.xmlComputer Vision Research Group (CVRG)Group targets to conduct research on the cutting-edge topics of computer vision related research areas. National Conference Publications2021-01-01T00:00:00+03:002021-01-01T00:00:00+03:00https://cvrg-iyte.github.io/blog/2021/01/01/National_conferencesNational Conference Publications

Image Based Localization Using Semantic Segmentation for Autonomous Driving (in Turkish)
Cinaroglu, I., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2019, 24-26 April, Sivas, Turkey.

Detection of Images with Animals in Raw Camera-Trap Data (in Turkish)
Tekeli, U., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2018, 2-5 May, Izmir, Turkey.

Effect of Patch Based Training on Object Localization with Convolutional Neural Networks (in Turkish)
Orhan, S., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2017, 16-19 May, Antalya, Turkey.

Estimation of Low Sucrose Concentrations by UV-Vis Spectroscopy and Artificial Neural Networks (in Turkish)
Mezgil, B., Erdogan, D., Alduran, Y., Yildiz, U.H., Arslan-Yildiz, A., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2017, 16-19 May, Antalya, Turkey.

Classification of Vehicles with Omnidirectional and PTZ cameras (in Turkish)
Baris, I., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2016, 16-19 May, Zonguldak, Turkey.

Classification of Vehicles Using Binary Foreground Images Averaged Over Time (in Turkish)
Karaimer, H.C., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2015, 16-19 May, Malatya, Turkey.

A Direct Approach for Human Detection with Catadioptric Omnidirectional Cameras
Cinaroglu, I., Bastanlar, Y.
IEEE Conference on Signal Processing and Communications Applications (SIU) 2014, 23-25 April, Trabzon, Turkey.
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.

Car Detection with Omnidirectional Cameras Using Haar-Like Features and Cascaded Boosting (in Turkish)
Karaimer, H.C., Bastanlar, Y.
IEEE Conference on Signal Processing and Communications Applications (SIU) 2014, 23-25 April, Trabzon, Turkey.
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.


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Detection and Localization of Motorway Overhead Directional Signs by Convolutional Neural Networks Trained with Synthetic Images
Hakan Hekimgil, 2019, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Estimation of Low Sucrose Concentrations and Classification of Bacteria Concentrations with Machine Learning on Spectroscopic Data
Bahadir Mezgil, 2019, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Elimination of Useless Images from Raw Camera-Trap Data
Ulas Tekeli, 2018, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Localization of certain animal species in images via training neural networks with image patches
Semih Orhan, 2017, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Classification and Tracking of Vehicles with Hybrid Camera Systems
Ipek Baris, 2016, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Shape-based Detection and Classification of Vehicles using Omnidirectional Videos
Hakki Can Karaimer, 2015, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

A Direct Approach for Object Detection with Omnidirectional Cameras
Ibrahim Cinaroglu, 2014, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

 

 

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
]]>CVRGAffordable person detection in omnidirectional cameras using radial integral channel features2019-01-01T00:00:00+03:002019-01-01T00:00:00+03:00https://cvrg-iyte.github.io/blog/2019/01/01/Demiroz2019_AAM Affordable person detection in omnidirectional cameras using radial integral channel features
Demiröz, B.E., Salah, A.A., Bastanlar, Y., Akarun, L.
Machine Vision and Applications, 2019, Volume 30, pp 645–655, DOI:10.1007/s00138-019-01016-w

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]]>CVRGElimination of Useless Images from Raw Camera-Trap Data2019-01-01T00:00:00+03:002019-01-01T00:00:00+03:00https://cvrg-iyte.github.io/blog/2019/01/01/Tekeli_Bastanlar_TJEECS_AAM Elimination of Useless Images from Raw Camera-Trap Data
Tekeli, U., Bastanlar, Y.
Turkish Journal of Electrical Engineering and Computer Sciences, 2019, Volume 27, pp 2395-2411, DOI:10.3906/elk-1808-130

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]]>CVRGClassification and Tracking of Traffic Scene Objects with Hybrid Camera Systems2017-01-01T00:00:00+03:002017-01-01T00:00:00+03:00https://cvrg-iyte.github.io/blog/2017/01/01/Baris_Bastanlar_ITSC2017 Classification and Tracking of Traffic Scene Objects with Hybrid Camera Systems
Baris, I., Bastanlar, Y.
IEEE International Transportation Systems Conference (ITSC 2017), 16-19 October 2017, Yokohama, Japan.

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]]>CVRGDetection and Classification of Vehicles from Omnidirectional Videos Using Multiple Silhouettes2017-01-01T00:00:00+03:002017-01-01T00:00:00+03:00https://cvrg-iyte.github.io/blog/2017/01/01/Karaimer_et_al_PAAA_AAM Detection and Classification of Vehicles from Omnidirectional Videos Using Multiple Silhouettes
Karaimer, H.C., Baris, I., Bastanlar, Y.
Pattern Analysis and Applications, August 2017, Volume 20, Issue 3, pp 893–905, DOI:10.1007/s10044-017-0593-z
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.

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]]>CVRGTraining convolutional neural networks with image patches for object localisation2017-01-01T00:00:00+03:002017-01-01T00:00:00+03:00https://cvrg-iyte.github.io/blog/2017/01/01/Orhan_Bastanlar_EL2018_AAM Training convolutional neural networks with image patches for object localisation
Orhan, S., Bastanlar, Y.
Electronics Letters, April 2018, Volume 54, Issue 7, pp 424–426, DOI:10.1049/el.2017.4725

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]]>CVRGA simplified two-view geometry based external calibration method for omnidirectional and PTZ camera pairs2016-01-01T00:00:00+02:002016-01-01T00:00:00+02:00https://cvrg-iyte.github.io/blog/2016/01/01/Bastanlar_PatRec_AAM_v7 A simplified two-view geometry based external calibration method for omnidirectional and PTZ camera pairs
Bastanlar, Y.
Pattern Recognition Letters, Volume 71, 1 February 2016, Pages 1–7. DOI:10.1016/j.patrec.2015.11.013

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]]>CVRGA Direct Approach for Object Detection with Catadioptric Omnidirectional Cameras2016-01-01T00:00:00+02:002016-01-01T00:00:00+02:00https://cvrg-iyte.github.io/blog/2016/01/01/Cinaroglu_Bastanlar_SIVP_AAM A Direct Approach for Object Detection with Catadioptric Omnidirectional Cameras
Cinaroglu, I., Bastanlar, Y.
Signal, Image and Video Processing, Volume 10(2), February 2016, Pages 413–420. DOI:10.1007/s11760-015-0768-2
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
]]>CVRGDetecting Photos with Leopards Using Convolutional Neural Networks2016-01-01T00:00:00+02:002016-01-01T00:00:00+02:00https://cvrg-iyte.github.io/blog/2016/01/01/Ubmk2016 Detecting Photos with Leopards Using Convolutional Neural Networks
Orhan, S., Bastanlar, Y.
International Conference on Computer Science and Engineering, 20-23 October 2016, Tekirdag, Turkey.

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