• 291 Citations
20032020

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Personal profile

Research profile

Egor Bondarev is an Assistant Professor in the Video Coding and Architectures group of TU/e, focusing on research areas such as multi-modal sensor fusion, smart surveillance with multi-camera systems and photorealistic 3D reconstruction of environments.  

Bondarev leads an internal research cluster on real-time data fusion from multi-modal sensors, integrating thermal, depth, laser and RGB information. This research cluster currently consists of five PhD students and a number of MSc students. Egor Bondarev is also involved in several European research projects and is currently a TU/e project leader in the large international projects PaSSANT, PS-CRIMSON and APPS. These projects all address the challenges of multi-modal multi-camera smart surveillance. 

Bondarev is strongly focused on valorization and exploitation of the algorithms developed in the VCA group. He initiated and organized deployment of the developed vision technologies to ST Microelectronics (France), ViNotion (Netherlands), INRIA (France) and ProDrive (Netherlands) 

As a lecturer, Bondarev responsible for the master’s degree course on Computer Vision and 3D Data Processing and also teaches the bachelor’s degree course Computation I. He has written and co-authored over 5publications on real-time computer vision and image/3D processing algorithms. 

Academic background

Egor Bondarev received his MSc degree in robotics and informatics from the State Polytechnic University (Belarus Republic) in 1997. In the four years after, he worked as an engineer at the Invention Machine Corp. In 2009, Bondarev obtained his PhD degree in Computer Science from Eindhoven University of Technology (TU/e). He then took on the position of Assistant Professor in the Video Coding Architectures (VCA) group at TU/e.

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Research Output

Improving open-set person re-identification by statistics-driven gallery refinement

Alkanat, T., Bondarev, E. & De With, P. H. N., 31 Jan 2020, 12th International Conference on Machine Vision, ICMV 2019. Osten, W., Nikolaev, D. & Zhou, J. (eds.). SPIE, 8 p. 114330V. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11433).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • Open Access
    File
  • 61 Downloads (Pure)

    Multi-branch convolutional descriptors for content-based remote sensing image retrieval

    Imbriaco, R., Alkanat, T., Bondarev, E. & de With, P. H. N., 1 Jan 2020, VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Farinella, G. M., Radeva, P. & Braz, J. (eds.). SCITEPRESS-Science and Technology Publications, Lda., Vol. 5. p. 242-249 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • Vessel-speed enforcement system by multi-camera detection and re-identification

    Groot, H. G. J., Zwemer, M. H., Wijnhoven, R. G. J., Bondarau, E. & de With, P. H. N., 2020, p. 268-277. 10 p.

    Research output: Contribution to conferencePaperAcademic

  • Aggregated deep local features for remote sensing image retrieval

    Imbriaco, R., Sebastian, C., Bondarau, E. & de With, P., 1 Mar 2019, In : Remote Sensing. 11, 5, 23 p., 493.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 10 Citations (Scopus)
    43 Downloads (Pure)

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