Title :
Model based extraction of articulated objects in image sequences for gait analysis
Author :
Meyer, Dorthe ; Denzler, Joachim ; Niemann, Heinrich
Author_Institution :
Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany
Abstract :
This paper describes an approach to the extraction of articulated objects which will be used for gait analysis. In most medical applications markers are used to determine trajectories of different body parts. This approach works without any markers. Monotony operators which compute the displacement vector field are used to initialize a contour based tracking algorithm called active rays-for several body parts which are important for gait analysis. The contours of different parts of the human body are extracted and tracked. These parts are approached by simple 3D geometric objects (blocks), which 3D position and motion are estimated for the each image of the image sequence. Then, the trajectories of the moving parts represented by the 3D blocks can be determined and used for classification of different gait disorders
Keywords :
biomechanics; edge detection; feature extraction; image classification; image sequences; medical image processing; motion estimation; patient diagnosis; 3D geometric objects; 3D motion estimation; 3D position estimation; active rays; articulated objects; contour based tracking algorithm; displacement vector field; gait analysis; gait disorders classification; image sequences; medical applications; model based extraction; monotony operators; trajectories; Biological system modeling; Hip; Humans; Image analysis; Image sequence analysis; Image sequences; Knee; Legged locomotion; Medical diagnosis; Skin;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.631988