Gesture tracking and recognition for lecture video editing

Author

Wang, Feng ; Ngo, Chong-Wah ; Pong, Ting-Chuen

Author_Institution

Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Kowloon, China

Volume

3

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

934

Abstract

This paper presents a gesture based driven approach for video editing. Given a lecture video, we adopt novel approaches to automatically detect and synchronize its content with electronic slides. The gestures in each synchronized topic (or shot) are then tracked and recognized continuously. By registering shots and slides and recovering their transformation, the regions where the gestures take place can be known. Based on the recognized gestures and their registered positions, the information in slides can be seamlessly extracted, not only to assist video editing, but also to enhance the quality of original lecture video.

Keywords

gesture recognition; image registration; video signal processing; electronic slides; gesture based driven method; gesture recognition; gesture tracking; lecture video editing; Cameras; Data mining; Event detection; Gunshot detection systems; Hidden Markov models; Humans; Optical character recognition software; Pattern recognition; Text recognition; Videoconference;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334682

Filename

1334682