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PUBLICATIONS

As a result of research activities on the VISTA project there has been several publications:

  • N. Banić and S. Lončarić. Color Cat: Remembering Colors for Illumination Estimation. Signal Processing Letters, IEEE 22.6 (2015): 651-655.

  • I. Harbaš and M. Subašić. CWT-Based Detection of Roadside Vegetation Aided by Motion Estimation.  Visual Information Processing (EUVIP), 2014 5th European Workshop on, Dec. 10-12, 2014 Paris, France. 

  • D. Jurić and S. Lončarić. A Unified Approach for On-Road Visual Night-time Vehicle Light Detection. 10th International Symposium on Visual Computing, Las Vegas, USA.

  • D. Jurić and S. Lončarić. A Method for On-road Night-time Vehicle Headlight Detection and Tracking. The 3rd International Conference on Connected Vehicles and Expo, Vienna, Austria.

  • I. Harbaš and M. Subašić. Motion Estimation Aided Detection of Roadside Vegetation, Image and Signal Processing (CISP), 2014 7th International Congress on , 14-16 Oct. 2014, Dalian, China.

  • N. Banić and S. Lončarić. Improving the White patch method by subsampling. IEEE International Conference on Image Processing (ICIP) 2014, pp. 605-609.

  • I. Marković, M. Bukal, J. Ćesić and I. Petrović. Direction-only tracking of moving objects on the unit sphere via probabilistic data association. 17th International Conference on Information Fusion (FUSION). Salamanca, Spain, 2014.

  • D. Jurić and S. Lončarić. Warning and Prohibitory Traffic Sign Detection based on Edge Orientation Gradients. Third Croatian Computer Vision Workshop 2014, Zagreb, Croatia.
  • Ćesić, Josip; Marković, Ivan; Jurić-Kavelj, Srećko; Petrović, Ivan. Detection and tracking of dynamic objects using 3D laser range sensor on a mobile platform. 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO). Vienna, Austria, 2014.
  • Ćesić, Josip; Marković, Ivan; Petrović, Ivan. Tracking of multiple moving objects on the unit sphere using a multiple-camera system on a mobile robot. The 13th International Conference on Intelligent Autonomous Systems (IAS). Padova, Italy, 2014.

  • Ivan Sikiric, Karla Brkic, Josip Krapac and Sinisa Segvic. Image Representations on a Budget: Traffic Scene Classification in a Restricted Bandwidth Scenario. IEEE Intelligent Vehicles. 2014. Dearborn, Michigan, USA.
  • I. Harbaš and M. Subašić. Detection of Roadside Vegetation Using Features from the Visible Spectrum. MIPRO 2014/CIS, pp. 1454 -1459 (MIPRO2014 Proceedings). Opatija, Croatia.
  • K. Kovačić, E. Ivanjko and S. Varela. Real time vehicle country of origin classification based on computer vision. ISEP 2014.
  • N. Banić and S. Lončarić, Color Rabbit: Guiding the Distance of Local Maximums in Illumination Estimation, in Digital Signal Processing (DSP), 2014 19th International Conference on. IEEE, 2014, pp. 345–350.
  • K. Kovačić, E. Ivanjko and H. Gold. Real time vehicle detection and tracking on multiple lanes. WSCG 2014.
  • N. Banić and S. Lončarić. Improving the Tone Mapping Operators by Using a Redefined Version of the Luminance Channel. ICISP 2014, LNCS 8509, pp. 392-399, 2014.
  • N. Banić and S. Lončarić. Color Badger: A Novel Retinex-Based Local Tone Mapping Operator. ICISP 2014, LNCS 8509, pp. 400-408, 2014.
  • N. Banić and S. Lončarić. Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation. Signal Processing Letters, IEEE 20.12 (2013): 1240-1243.
  • N. Banić and S. Lončarić. Using the Random Sprays Retinex Algorithm for Global Illumination Estimation. Proceedings of the Croatian Computer Vision Workshop 2013, pp. 3-8, (arXiv).
  • M. Lopar and S. Ribarić. An Overview and Evaluation of Various Face and Eyes Detection Algorithms for Driver Fatigue Monitoring Systems.  Proceedings of the Croatian Computer Vision Workshop 2013, pp. 15-18 (arXiv).
  • K. Kovačić, E. Ivanjko and H. Gold. Computer Vision Systems in Road Vehicles: A Review. Proceedings of the Croatian Computer Vision Workshop 2013, pp. 25-30 (arXiv).
  • I. Krešo, M. Ševrović and S. Šegvić. A Novel Georeferenced Dataset for Stereo Visual Odometry. Proceedings of the Croatian Computer Vision Workshop 2013, pp. 43-48 (arXiv).

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FUNDING
 

This project is cofinanced by the European Union from the European Regional Development Fund.

 

 
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