• 265 Citations
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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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  • 1 Similar Profiles
Cameras Engineering & Materials Science
Real time systems Engineering & Materials Science
Processing Engineering & Materials Science
Self-learning Mathematics
Image matching Engineering & Materials Science
Point Cloud Mathematics
Vessel Mathematics
Pixels Engineering & Materials Science

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Research Output 2003 2019

1 Citation (Scopus)
32 Downloads (Pure)

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
remote sensing
state of the art
10 Downloads (Pure)

Improving person re-identification performance by customized dataset and person detection

Groot, H., Bondarau, E. & de With, P., 1 Feb 2019, p. 268-1-268-9(9). 8 p.

Research output: Contribution to conferencePaperAcademic

Open Access
Random processes
Aspect ratio
Identification (control systems)

Multi-class detection and orientation recognition of vessels in maritime surveillance

Ghahremani, A., Kong, Y., Bondarau, Y. & de With, P. H. N., 15 Jan 2019, p. 266-1-266-5. 5 p.

Research output: Contribution to conferencePaperAcademic

1 Downloads (Pure)

Re-identification of vessels with convolutional neural networks

Ghahremani, A., Kong, Y., Bondarev, E. & de With, P. H. N., 1 Jan 2019, 5th International Conference on Computer and Technology Applications, (ICCTA2019). Association for Computing Machinery, Inc, p. 93-97 5 p.

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

Neural networks
6 Citations (Scopus)

Self-learning framework with temporal filtering for robust maritime vessel detection

Ghahremani, A., Bondarev, E. & de With, P. H. N., 5 May 2019, Representations, Analysis and Recognition of Shape and Motion from Imaging Data - 7th International Workshop, RFMI 2017, Revised Selected Papers. Ghorbel, F., Chen, L. & Ben Amor, B. (eds.). Cham: Springer, p. 121-135 15 p. (Communications in Computer and Information Science; vol. 842).

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



Student theses

3D surface reconstruction of environments using point clouds and textures

Author: Ma, L., 31 Aug 2012

Supervisor: de With, P. (Supervisor 1), Bondarau, Y. (External coach) & Favier, R. (External coach)

Student thesis: Master

Fusion of IMU and depth sensor data for accurate indoor 3D mapping

Author: Langenhuisen, E., 31 Dec 2015

Supervisor: Bondarau, Y. (Supervisor 1)

Student thesis: Master

Mixed-precision neural network inference acceleration on a coarse grain reconfigurable architecture

Author: Bos, N., 16 Dec 2019

Supervisor: Corporaal, H. (Supervisor 1), Wijtvliet, M. (Supervisor 2) & Bondarau, E. (Supervisor 2)

Student thesis: Master

Position based advertisement change detection

Author: Pawar, A., 28 Oct 2019

Supervisor: Bondarau, E. (Supervisor 1), Swart, A. (External person) (External coach) & Boom, B. (External person) (External coach)

Student thesis: Master


Re-identification of vessels with convolutional neural networks

Author: Kong, Y., 26 Nov 2018

Supervisor: Bondarau, E. (Supervisor 1)

Student thesis: Master