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Proceedings Paper

Appearance based key-shot selection for a hand held camera
Author(s): Bram Alefs; Judith Dijk
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Paper Abstract

Automatic selection of key-shots is an important step for video data processing. Depending on the purpose, key-shot selection provides user feed back on recorded data, storage reduction and viewpoint selection and it can be used for panoramic image stitching and 3D-reconstruction. In particular, investigating scenes of crime or accidental investigations involves large amount of data, containing information on physical arrangement of objects, details on surface geometry and appearances. This paper proposes an efficient method for automatic selection of key-shot, providing onsite feedback on recorded segments and automatic selection of view-points for 3D-reconstruction. It uses appearance based object and scene modeling for a freely moving, hand held camera. The camera motion is determined on two levels, comparing appearances of local image regions and full 3D reconstruction. On the lower level, the 2D-warp between subsequent video frames is used to determine local change of image appearance and derive a set of motion key frames. These keyframes than are used to determine full 3D motion and to reconstruct objects. Furthermore, key-frames are used for fast indexation and detection of loop closures. Examples for automatic key-frame selection are given for an re-enacted crime scene, and compared to manual selection.

Paper Details

Date Published: 27 April 2009
PDF: 12 pages
Proc. SPIE 7341, Visual Information Processing XVIII, 734105 (27 April 2009); doi: 10.1117/12.818480
Show Author Affiliations
Bram Alefs, TNO Defense, Security and Safety (Netherlands)
Judith Dijk, TNO Defense, Security and Safety (Netherlands)


Published in SPIE Proceedings Vol. 7341:
Visual Information Processing XVIII
Zia-Ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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