Hand Gesture Recognition and Spotting in Uncontrolled Environments based on Classifier Weighting

Yi Yao, Chang-Tsun Li

Research output: Book chapter/Published conference paperConference paper

6 Citations (Scopus)

Abstract

Pure appearance based Hand Gesture Recognition and Spotting in uncontrolled environments are challenging tasks due to the uncontrolled scene settings include: multiple hand regions in the scene; background moving objects; scale, speed and location variations of the gesture trajectories; changing lighting conditions and frontal occlusions. An appearance based method based on a novel classifier weighting scheme is proposed in this paper for hand gesture recognition and spotting in uncontrolled environments. The method is capable of producing decent performance with the presence of all the aforementioned challenges. Two databases are used for evaluating the proposed method, the Palm Graffiti Digits Database and the Warwick Hand Gesture Database. The experimental results demonstrate that the proposed method can deal with the challenges from uncontrolled environments without any prior knowledge and enhance the performance of the initial classifier.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3082-3086
Number of pages5
ISBN (Electronic)9781479983391
DOIs
Publication statusPublished - 2015
Event2015 22nd IEEE International Conference on Image Processing: ICIP 2015 - Quebec City Convention Centre, Quebec City, Canada
Duration: 27 Sep 201530 Sep 2015
http://icip2015.org/index.html

Conference

Conference2015 22nd IEEE International Conference on Image Processing
CountryCanada
CityQuebec City
Period27/09/1530/09/15
OtherThe International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2015, the twenty second in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world. Research frontiers in fields ranging from traditional image processing applications to evolving multimedia and video technologies are regularly advanced by results first reported in ICIP technical sessions.
Internet address

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    Yao, Y., & Li, C-T. (2015). Hand Gesture Recognition and Spotting in Uncontrolled Environments based on Classifier Weighting. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (pp. 3082-3086). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIP.2015.7351370