Real-time multi-hand posture recognition

Author

Chuqing, Cao ; Ruifeng, Li ; Lianzheng, Ge

Author_Institution

Sch. of Mechatron. Eng., Harbin Inst. of Technol., Harbin, China

Volume

1

fYear

2010

fDate

25-27 June 2010

Abstract

A new method based on Haar-like and topological feature is proposed for multi-hand posture recognition in this study. Initially, a statistical method is used to detect the region of the hand according Haar-like features and color segmentation technique. With this method, a group of hand posture regions can be detected in real time with high recognition accuracy. Then, the topology is applied on the detected regions in order to classify the different postures. The experimental results show that the new approach achieves satisfactory performance when applying this new method to human-robot interaction.

Keywords

feature extraction; human-robot interaction; image classification; image colour analysis; image segmentation; robot vision; statistical analysis; Haar-like feature; color segmentation; multihand posture recognition; posture classification; statistical method; topological feature; Design engineering; Detectors; Face detection; Feature extraction; Humans; Image recognition; Image segmentation; Intelligent robots; Service robots; Statistical analysis; Haar-like feature; Human-robot interaction; Image segmentation; Posture recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Design and Applications (ICCDA), 2010 International Conference on

Conference_Location

Qinhuangdao

Print_ISBN

978-1-4244-7164-5

Electronic_ISBN

978-1-4244-7164-5

Type

conf

DOI

10.1109/ICCDA.2010.5540896

Filename

5540896