Real-Time Local Range On-Demand for Tracking Gestures and Dynamic Regional Range Images
This paper presents a new approach to a gesture-tracking system using real-time range on-demand. The system represents a gesture-controlled interface for interactive visual exploration of large data sets. The paper describes a method performing range processing only when necessary and where necessary. Range data is processed only for non-static regions of interest. This is accomplished by a set of filters on the color, motion, and range data. The speedup achieved is between 41% and 54%. The algorithm also includes a robust skin-color segmentation insensitive to illumination changes. Selective range processing results in dynamic regional range images (DRRIs). This development is also placed in a broader context of a biological visual system emulation, specifically redundancies and attention mechanisms.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE Office of Defense Programs (DP) (US)
- DOE Contract Number:
- W-7405-Eng-48
- OSTI ID:
- 792725
- Report Number(s):
- UCRL-JC-137651-REV-1; TRN: US200302%%91
- Resource Relation:
- Conference: IEEE Workshop on Human Modeling Analysis and Synthesis, Hilton Head, SC (US), 06/11/2000--06/16/2000; Other Information: PBD: 30 May 2000
- Country of Publication:
- United States
- Language:
- English
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