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Data Set and Ground Truth

Data Set and Ground Truth. Data set and Ground truth. Data set contents Data set resources Ground truth contents Ground truth resources. Data set contents. Goal: Capture realistic video sequences with graduate difficulties: lighting variations, occlusions …

elaine-hart
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Data Set and Ground Truth

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  1. Data Set and Ground Truth

  2. Data set and Ground truth • Data set contents • Data set resources • Ground truth contents • Ground truth resources

  3. Data set contents Goal: Capturerealisticvideo sequences with graduate difficulties: • lighting variations, • occlusions … covering predefined scenarios.

  4. Data set contents Video providers, main characteristics • Inrets: Building Entrance, Indoor/Outdoor, Multi-view • CEA: Corridor + Road, Indoor/Outdoor, Visible/IR • RATP: Metro, Indoor, Crowded environment • iLids: Road, Outdoor, Real street context • Silogic: Aircraft parking zone, Multi-view

  5. Data set contents 5 Topics • Apron • Building Corridor • Building Entrance • Metro • Road

  6. Data set contents 2 points of view APRON Different weather conditions

  7. Data set contents BUILDING CORRIDOR Visible and IR clip

  8. Data set contents BUILDING ENTRANCE Entrance and Car Park 4 points of view

  9. Data set contents METRO Real subway scene

  10. Data set contents ROAD Visible and IR clip Real scene

  11. Data set and Ground truth • Data set contents • Data set resources • Ground truth contents • Ground truth resources

  12. Data set resources

  13. Data set resources

  14. Data set resources

  15. Data set resources • 2 video data set (test + evaluation) • 2*2 DVD provided • Documentation (metrics, annotation rules, structures and formats) • Context and calibration information • Data base (xls file)

  16. Data set resources

  17. Data set and Ground truth • Data set contents • Data set resources • Ground truth contents • Ground truth resources

  18. Ground truth contents • Context information • Physical objects of interest and events annotation Annotation rules provided to participant in a document and updated during the project Examples…

  19. Data set and Ground truth • Data set contents • Data set resources • Ground truth contents • Ground truth resources

  20. Ground truth resources

  21. Conclusion & Feedback Difficulties encountered: • Definition of event • Annotation subjectivity Proposition for other evaluation project: • Ground truth done before data set distribution: Easier to identify difficulties that may encountered participants and add explanations and specific annotation rules • Ground truth given between the deadline submission and the results processing to be able to correct ground truth before evaluation -> Time consuming

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