Gesture detection in low-quality video

Myung Cheol Roh, Seong Whan Lee

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The spotting and recognition of the human gestures is a key task in automating the analysis of the video material and human-robot interaction. Specially, applying this technology to low-resolution video has many potential applications. The human area is small with respect to input video frames in broadcast sports video, surveillance video, etc. However, this condition makes the spotting certain gesture in a video sequence a challenging task, especially if there is large camera motion. To overcome the problems, we propose a posture matching method based on curvature scale space templates of the human silhouette. We also propose a new recognition method which is robust to noisy sequences of data.

Original languageEnglish
Article number1699959
Pages (from-to)791-794
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume4
DOIs
Publication statusPublished - 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: 2006 Aug 202006 Aug 24

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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