LDA based method for online punch segmentation and recognition

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007
Pages338-343
Publication statusPublished - 2007

Conference

Title2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007
PlaceChina
CityChongqing
Period10 - 12 December 2007

Abstract

In this paper, we propose an approach for real-time online segmentation and recognition of ten typical types of punches from continuously captured boxing sequences. Complete punch patterns are firstly segmented from continuous boxing sequences. Punches from different subjects, which are of variable arm and body length are normalized and uniformly represented with a vector. Then a LDA based punch type recognizer is applied to the unified punches. The type of a specific punch is determined according to a nearest neighbor rule in the LDA feature space. The proposed approach works efficiently and the recognition accuracy is about 98%. We have implemented a real-time online punch recognition system. © 2007 IEEE.

Citation Format(s)

LDA based method for online punch segmentation and recognition. / Shuxu, Jing; Howard, Leung; Fazhi, He; Komura, Taku; Jacky, Chan.

Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007. 2007. p. 338-343 4414578.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review