Title :
Gesture Spotting in Low-Quality Video with Features Based on Curvature Scale Space
Author :
Roh, Myung-Cheol ; Christmas, Bill ; Kittler, Joseph ; Lee, Seong-Whan
Author_Institution :
Dept. of Comput. Sci. & Eng., Korea Univ., Seoul
Abstract :
Player´s gesture and action spotting in sports video is a key task in automatic analysis of the video material at a high level. In many sports views, the camera covers a large part of the sports arena, so that the area of player´s region is small, and has large motion. These make the determination of the player´s gestures and actions a challenging task. To overcome these problems, we propose a method based on curvature scale space templates of the player´s silhouette. The use of curvature scale space makes the method robust to noise and our method is robust to significant shape corruption of a part of player´s silhouette. We also propose a new recognition method which is robust to noisy sequence of posture and needs only a small amount of training data, which is essential characteristic for many practical applications
Keywords :
gesture recognition; image motion analysis; sport; video signal processing; action spotting; curvature scale space; gesture spotting; low-quality video; shape corruption; sports video; Cameras; Computer science; Face recognition; Noise robustness; Noise shaping; Shape; Speech analysis; Speech processing; Surveillance; Video signal processing;
Conference_Titel :
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on
Conference_Location :
Southampton
Print_ISBN :
0-7695-2503-2
DOI :
10.1109/FGR.2006.59