Hand-gesture recognition using multi-scale colour features, hierarchical features and particle filtering
2002 (English)In: Fifth IEEE International Conference on Automatic Face and Gesture Recognition, 2002. Proceedings, IEEE conference proceedings, 2002, 63-74 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2002. 63-74 p.
Computer vision, Control systems, Electronic equipment testing, Filtering, Image sampling, Particle tracking, Prototypes, Real time systems, Skin, System testing
Human Computer Interaction Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-40153DOI: 10.1109/AFGR.2002.1004190OAI: oai:DiVA.org:kth-40153DiVA: diva2:462620
Face and Gesture, 20 May 2002-21 May 2002,Washington, DC, USA
QC 201112072011-12-072011-09-132014-10-28Bibliographically approved