Hand-gesture recognition using multi-scale colour features, hierarchical features and particle filtering

التفاصيل البيبلوغرافية
العنوان: Hand-gesture recognition using multi-scale colour features, hierarchical features and particle filtering
المؤلفون: Bretzner, Lars, Laptev, Ivan, Lindeberg, Tony, 1964
المصدر: Fifth IEEE International Conference on Automatic Face and Gesture Recognition, 2002. Proceedings. :63-74
مصطلحات موضوعية: Computer vision, Control systems, Electronic equipment testing, Filtering, Image sampling, Particle tracking, Prototypes, Real time systems, Skin, System testing
الوصف: This paper presents algorithms and a prototype systemfor hand tracking and hand posture recognition. Hand posturesare represented in terms of hierarchies of multi-scalecolour image features at different scales, with qualitativeinter-relations in terms of scale, position and orientation. Ineach image, detection of multi-scale colour features is performed.Hand states are then simultaneously detected andtracked using particle filtering, with an extension of layeredsampling referred to as hierarchical layered sampling. Experimentsare presented showing that the performance ofthe system is substantially improved by performing featuredetection in colour space and including a prior with respectto skin colour. These components have been integrated intoa real-time prototype system, applied to a test problem ofcontrolling consumer electronics using hand gestures. In asimplified demo scenario, this system has been successfullytested by participants at two fairs during 2001.
وصف الملف: electronic
URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-40153
http://www.csc.kth.se/cvap/abstracts/BreLapLin-FG02.html
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1004190
https://kth.diva-portal.org/smash/get/diva2:462620/FULLTEXT01.pdf
قاعدة البيانات: SwePub
الوصف
DOI:10.1109/AFGR.2002.1004190