Video Processing and Understanding Lab
Universidad Autónoma de Madrid, Escuela Politécnica Superior

TEC2011-25995 EventVideo (2012-2014)
Strategies for Object Segmentation, Detection and Tracking in Complex Environments for Event Detection in Video Surveillance and Monitoring

Supported by the Ministerio de Economía y Competividad of the Spanish Goverment
Workpackages

WP1: Framework establishment and maintenance

This work package aims at the initial establishment and maintenance of a development framework for the remaining work packages.

  • T.1.1 (M1-36): Update, upgrade and maintenance of the System infrastructure.
  • T.1.2 (M1-36): Update and maintenance of the Distributed Video Analysis (DiVA) software architecture.

WP2: Video object segmentation

This work package aims at coordinating research in video object segmentation.

  • T.2.1 (M1-27): Region-based reflectance-invariant segmentation for static cameras.
  • T.2.2 (M1-27): Global motion estimation and segmentation for moving cameras.

WP3: People and events modelling and detection

This work package aims at coordinating research in the modelling and detection of people and events.

  • T.3.1 (M1-27): Combined people models adapted to people detection in dense environments.
  • T.3.2 (M1-27): Events models adapted to event detection in dense environments.

WP4: Video object tracking

This work package aims at coordinating research in video object tracking.

  • T.4.1 (M1-27): Tracking approaches for dense and cluttered environments.
  • T.4.2 (M1-27): Visual attention techniques for partial occlusions and groupings.

WP5: Integration, orchestration and exploration

This work package aims at integrating the algorithms developed within WP2, WP3 and WP4, in order to conform the global analysis chain to provide solutions to event detection for video surveillance and monitoring applications. Besides the traditional sequential system integration of the analysis algorithms considered as independent, attention will be paid to orchestrate the analysis chain via the use of feedback policies and to explore the use of depth information in video analysis stages.

  • T.5.1 (M25-36): Study, design, and integration of the analysis chain for event detection.
  • T5.2 (M19-33): Quality measures of analysis phases.
  • T5.3 (M19-33): Feedback-driven analysis approaches.
  • T5.4(M19-30) Exploration of the use Kinect’s depth data in analysis stages.

WP6: Testing and evaluation, and dissemination

This work package coordinates the testing and evaluation of the results from the previous work packages, and the project dissemination activities.

  • T.6.1 (M1-36): Evaluation material and testing methodology.
  • T.6.2 (M1-36): Dissemination.

This workplan was updated 09/05/2013 adjusting the orginal workplan after the analysis of the first year outcomes.

Last update 09/05/2013
Universidad Autónoma de Madrid, Escuela Politécnica Superior
Video Processing and Understanding Lab