19 January 2009 Occlusion classifiers for picture rate conversion
Author Affiliations +
Occlusion detection is an essential ingredient in high quality picture rate up-conversion and view interpolation applications. Many integrated approaches to occlusion detection and classification have been proposed, particularly in the stereo literature. However, due to their high complexity and 1-dimensional nature (baseline stereo), few of them are suitable for real-time use in picture rate up-conversion. This paper reviews fast, deterministic methods for occlusion detection and proposes a new method, suitable for real-time use in motion compensated picture rate up-conversion.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chris Bartels, Chris Bartels, Gerard de Haan, Gerard de Haan, } "Occlusion classifiers for picture rate conversion", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571D (19 January 2009); doi: 10.1117/12.805959; https://doi.org/10.1117/12.805959


Tracking objects with shadows
Proceedings of SPIE (May 06 2003)
Object tracking for video annotation
Proceedings of SPIE (November 01 2004)
Object segmentation using skin color and motion information
Proceedings of SPIE (December 28 2000)

Back to Top