Analysis of Gesture and Action in Technical Talks for Video Indexing

111 thi.) puper, we present un uutomutic. system fi,r UIIulyzing and unnotuting video sequences of trchnicrd tulks. Our method uses U robust motion estiniution tec,hnique tci detect k e ~frunzes und segment the video sequence into subsequences cmtuining a single overhead slide. The subsequences ure stabilized to remove motion that o m mwhen the speukeradjusts their slides. Any chunges remuining betweenfrunzes in the stubilized sequencxs muy be due to speuker gestures such uspointing or writing and we use uc-tivec~intour.~ to automaticdl~truck these potential gestures. Given the construined domuin we dejine U simple "voc-ubu1un." cguctions which ~ ' u neusily be recognized bused on the active c~intourshupe and motion. The recognized actionsprovide U rich unnotution ofthe sequence that cun be used to ucces.sa condensed version of the tulkfrom U webpuge.

• Type: Conference
• Year: 1997
• Where: CVPR
• Authors: Shanon X. Ju, Michael J. Black, Scott L. Minneman, Don Kimber
• Keywords: Computer Vision, CVPR 1997, Potential Gestures, Robust Motion Estiniution, Single Overhead Slide, Unnotution Ofthe Sequence, Video Sequence