WG II/5: Dynamic Scene Analysis

Our Mission

ISPRS Working group II/5 aims to promote the development of new methodologies, algorithms and applications related to the processing of dynamic scenes acquired for object tracking, ego-motion determination, detection and characterization of dynamic and multi-temporal processes, deformation measurements, monocular or stereoscopic mapping of the environment with a UAV or an autonomous robot, autonomous navigation in dynamic and static scenes, biomedical motion analysis and detection of changes in land-cover/land-use mapping.

Recent research has shown that a pure transition of methods mainly designed for the analysis of close-range video streams to the aforementioned applications is not possible due to different camera characteristics, varying frame rates and different platforms and input modalities. Further theoretical and experimental developments accompanied by thorough validations are thus necessary to better exploit the massive information content in image sequences and provide high precision outputs useful for subsequent applications.

To this purpose, the WG organizes workshops to exchange the latest developments on dynamic scene analysis. Furthermore the WG provides and links to publicly available datasets for various applications.

Finally, the WG will work closely with WG II/4, WG II/6, WG II/7 and ICWG I/II and will establish links with WG I/7 and WG III/6.

 

Working Group Officers:



Chair  

Alper YilmazAlper Yilmaz
Photogrammetric Computer Vision Lab
The Ohio State University
Columbus
USA
+1 614-247-4323

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Co-Chair  

Michael Ying YangMichael Ying Yang
ITC - Faculty of Geo-Information Science and Earth Observation
University of Twente
Enschede
Netherlands
+31 53 489 2916

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Co-Chair  

Yury VizilterYury Vizilter
GosNIIAS - The Federal State Unitary Enterprise
"State Research Institute of Aviation Systems"
Moscow Viktorenko 7
Russia
+7 499-157-9498

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Secretary  

Siavash HosseinyalamdarySiavash Hosseinyalamdary
ITC - Faculty of Geo-Information Science and Earth Observation
University of Twente
Enschede
Netherlands
+31 53 489 3921

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Supporters

Industrial Representative  

Kent KahleKent Kahle
Engineering & Business Development
Trimble Navigation Inc.
USA

Terms of Reference:

  • Videogrammetry
  • Dynamic scene understanding from image sequences.
  • Models and methods to determine ego-motion for photogrammetric and computer vision applications including but not limited to navigation, geo-referencing and object reconstruction.
  • Detection, reconstruction, classification and tracking of single and multiple objects in image sequences
  • Event reconstruction and scene analysis from single and multiple image streams.
  • Offline and real-time 3D processing of image sequences (MOCAP system, mobile mapping, etc.)
  • Quality assessment techniques for calibration, orientation and object detection from image sequences
  • Benchmarking of object detection and semantic segmentation from image sequences
  • Change detection in image time-series and/or 3D point clouds