Photogrammetric and Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine

Photogrammetric and computer vision methods for surveillance, biometrics, biomedical imaging, and diagnostics have been attracting more attention in the recent years. Interdisciplinary collaboration is essential for providing new developments and tools in this field.

The third international workshop Photogrammetric and Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine (PSBB19) enables presentations and discussions of novel achievements in photogrammetric and computer vision research on the analysis of human body, features, behavior, and the environment, both for biomedical and security applications.

The 2019 workshop is a follow-up to the successful 2015 and 2017 PSBB editions. It is organized by the International Society for Photogrammetry and Remote Sensing (WG II/5 and WG II/10), the State Research Institute of Aviation Systems, Lomonosov Moscow State University, and the Moscow Institute of Physics and Technology.


  • Motion and change detection from monocular or stereo image sequences
  • Motion analysis, object detection, and tracking for video surveillance, biometrics, and biomedicine
  • Human detection and person (re-)identification in video sequences
  • Human body 3D modeling, measurement, and shape analysis
  • Human motion 3D capturing and analysis
  • Human action detection and recognition: gesture recognition, crowd analysis, behavior estimation
  • Face detection, recognition, and 3D modeling
  • Medical imaging, visualization, and systems
  • Vision-based computer-aided diagnostics
  • Virtual and augmented reality
  • Image analysis and photogrammetric applications for biometry and biomedicine
  • Mathematical morphology, shape analysis, 2D and 3D shape matching
  • Deep learning for object detection and recognition in video surveillance, biometrics, and biomedicine

Program committee

  • Sergey Zheltov (chair), State Research Institute of Aviation Systems, Russia
  • Fabio Remondino (co-chair), Bruno Kessler Foundation (FBK), Italy
  • Alper Yilmaz, Ohio State University Photogrammetric Computer Vision Lab, U.S.
  • Michael Ying Yang, University of Twente Faculty of Geo-Information Science and Earth Observation (ITC), Netherlands
  • Siavash Hosseinyalamdary, University of Twente — ITC, Netherlands
  • Ajay Kumar, Hong Kong Polytechnic University, China
  • Victor Lempitsky, Skoltech, Russia
  • Marco Attene, CNR Institute for Applied Mathematics and Information Technologies (IMATI), Italy
  • Silvia Biasotti, CNR IMATI, Italy
  • Alexander Chibunichev, Moscow State University of Geodesy and Cartography (MIIGAiK), Russia
  • Alexey Chulichkov, Lomonosov Moscow State University, Russia
  • Roderik Lindenbergh, Delft University of Technology Department of Geoscience & Remote Sensing, Netherlands
  • Martin Rutzinger, Austrian Academy of Sciences Institute for Interdisciplinary Mountain Research, Austria
  • Belen Riveiro, University of Vigo Department of Materials Engineering, Applied Mechanics and Construction, Spain
  • Paolo Rota, Italian Institute of Technology (IIT), Italy
  • Margarita Favorskaya, Siberian State Aerospace University, Russia
  • Shih-Chia Huang, National Taipei University of Technology, Taiwan
  • Andrey Kopylov, Tula State University, Russia
  • Oleg Seredin, Tula State University, Russia
  • Leonid Mestetsky, Lomonosov Moscow State University, Russia
  • Vladislav Sergeev, Russian Academy of Sciences Image Processing Systems Institute, Russia
  • B.H. Shekar, Mangalore University, India
  • Yury Vizilter, State Research Institute of Aviation Systems (GosNIIAS), Russia
  • Vladimir Knyaz, GosNIIAS, Russia

Organizing committee

  • Vladimir Knyaz, MIPT and State Research Institute of Aviation Systems (GosNIIAS), Russia
  • Andrey Krylov, Lomonosov Moscow State University, Russia
  • Yury Vizilter, GosNIIAS, Russia
  • Alexander Chibunichev, Moscow State University of Geodesy and Cartography (MIIGAiK), Russia
  • Dmitri Saulski, GosNIIAS, Russia
  • Boris Vishnyakov, GosNIIAS, Russia
  • Alexander Govorov, MIIGAiK, Russia
  • Mikhail Ososkov, GosNIIAS, Russia
  • Belen Riveiro, University of Vigo, Spain
  • A. Budukh, GosNIIAS, Russia

Invited speakers

  • Fabio Remondino, Bruno Kessler Foundation (FBK), Italy — “Toward Photogrammetry 2020
Remondino holds a PhD in photogrammetry from ETH Zurich. He heads the 3D Optical Metrology (3DOM) research unit at the Bruno Kessler Foundation of Trento, Italy. His research interests are information extraction from imagery, data fusion, and point cloud processing. He holds the Italian habilitation as a full professor in geomatics and has taught 3D surveying and photogrammetry at ETH Zurich (Switzerland), the University of Innsbruck (Austria), the Skolkovo Institute of Science and Technology (Russia), and the University of Bologna (Italy). He is currently president of the ISPRS Technical Commission II: Photogrammetry, vice president of EuroSDR, and vice president of CIPA Heritage Documentation. He authored nine books, some 200 papers published in journals and conference proceedings, and gave 22 invited and keynote talks at international conferences.

  • Victor Lempitsky, Skolkovo Institute of Science and Technology (Skoltech) and Samsung AI Center, Moscow, Russia — “Convolutional Networks in Telepresence Applications
Lempitsky leads the Vision, Learning, Telepresence (VIOLET) Lab at the Samsung AI Center in Moscow. He also holds an associate professorship at Skoltech. In the past, Lempitsky was a researcher at Yandex, the Visual Geometry Group (VGG) of Oxford University, and the Computer Vision group of Microsoft Research Cambridge. He holds a PhD from Lomonosov Moscow State University (2007). His research interests are the various aspects of computer vision and deep learning. He has published extensively in top computer vision and machine learning journals, and has served as a section chair at top computer vision conferences (CVPR, ICCV, ECCV) on multiple occasions. In 2018, he received the Scopus Award, which recognizes highly cited Russian researchers.

  • Paolo Rota, Italian Institute of Technology (IIT) and University of Trento, Italy — “Beyond Pure Vision: A Quick Peek Into Multimodal Deep Learning for Industrial Applications
Rota received his PhD in information and communication technologies from the University of Trento in 2015. After two years as Marie Curie Fellow at TU Wien’s Computer Vision Lab, he joined the Pattern Analysis and Computer Vision (PAVIS) group at the Italian Institute of Technology in Genoa. In August 2018, he moved back to the University of Trento as a postdoc. Rota also collaborates with the ProM Facility of Rovereto where he is responsible for the Machine Learning for Industrial Prototyping Lab. His research interests are computer vision and machine learning, with a particular focus on scene understanding and multimodal learning. He serves as a reviewer for various prestigious conferences in the field (e.g., CVPR, ECCV, ICCV). He is also a co-organizer of international workshops, such as Multimodal Machine Learning and Applications (MULA 2018), held in Munich during ECCV 2018, and the Data Driven Treatment Response Assessment Workshop (DATRA 2018), which took place in Grenada in conjunction with MICCAI 2018.

Joint session

The PSBB19 program features a special session on new photogrammetric and computer vision methods for anthropology. The session is organized in partnership with the Institute of Ethnology and Anthropology of the Russian Academy of Sciences. The joint session is held in conjunction with the international conference Problems of Studying Variability in Anthropology. We invite researchers with experience in the fields of anthropology and paleoanthropology to participate.

Demo session

Researchers from universities, scientific institutes, and the industry are invited to present live demonstrations of photogrammetric and computer vision applications to PSBB19 participants. Demo presentations are not limited to papers accepted for the workshop. Any demonstration showcasing the efficiency of computer vision methods is welcome. Industrial demonstrations focusing on new research results are invited. The demonstrations will be held May 13-14 alongside poster sessions.

Important dates

  • Abstract due date: Jan. 15, 2019
  • Author notification: by Feb. 10
  • Rebuttal period: until March 1
  • Camera-ready paper due date: April 3

Abstracts should be from 1,000 to 1,500 words long — that is, about one or two pages of single-spaced 12-point font. For formatting, adhere to the ISPRS template. Authors are encouraged to include figures and diagrams to illustrate the concepts outlined in their abstracts. Please upload your abstract using the submission website. Accepted abstracts formatted according to the ISPRS template will be published in the conference proceedings of PSBB19. For poster presentations, submitting an abstract is preferable.


The venue of the PSBB19 workshop is Lomonosov Moscow State University, one of the oldest and most famous universities in Russia. The technical and posters sessions will take place at the MSU Faculty of Computational Mathematics and Cybernetics.


Online registration via the conference website opens Nov. 12, 2018.

The registration fees are:

  • 100 euros or 7,500 rubles for authors.
  • 50 euros or 3,500 rubles for students and PhD students (under 30 years of age).
  • 20 euros or 1,500 rubles for attendees without presentations.


Phone: +7 499 157-3127



The organizing committee chair, Vladimir Knyaz (MIPT, GosNIIAS), is available at:,

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Location: Lomonosov Moscow State University, Russia

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