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This paper discusses an approach to human action recognition via local feature tracking and robust estimation of background motion. The main contribution is a robust feature extraction algorithm based on KLT tracker and SIFT as well as a method for estimating dominant planes in the scene. Multiple interest point detectors are used to provide large number of(More)
Action and activity representation and recognition are very demanding research area in computer vision and man-machine interaction. Though plenty of researches have been done in this arena, the field is still immature. Over the last decades, extensive research methodologies have been developed on human activity analysis and recognition for various(More)
Linear scale-space is considered to be a modern bottom-up tool in computer vision. The American and European vision community, however, is unaware of the fact that it has already been axiomatically derived in 1959 in a Japanese paper by Taizo Iijima. This result formed the starting point of vast linear scale-space research in Japan ranging from various(More)
The motion history image (MHI) approach is a view-based temporal template method which is simple but robust in representing movements and is widely employed by various research groups for action recognition, motion analysis and other related applications. In this paper, we provide an overview of MHI-based human motion recognition techniques and(More)
Severe internal carotid artery stenosis or occlusion is considered to be one of the important causes of stroke. The authors created a complete unilateral carotid artery occlusion model in 15 Sprague-Dawley rats, induced severe hypotension for at least 36 minutes by exsanguination with the target mean arterial pressure being equal or less than 35 mmHg, and(More)
An efficient application of eigenspace technique to recognize human behaviors is described. The present paper investigates two types of recognition, i.e., recognition of an unknown human posture and a particular behavior by identifying human postures among several behaviors. A number of different posture sets from some selected behaviors create universal(More)
Automatic detection of abnormal shadow area on a multi detector CT image is important task under developing a computer aided diagnosis system. Ground glass opacity is one of the important features in lung cancer diagnosis of computer aided diagnosis. It may be seen as diffuse or more often as patchy in distribution taking sometimes a geographic or mosaic(More)
The factorization method is a technique for recovering 3-D shape of an undeformable object without using camera parameters. The technique is extended to an efficient method in this paper for recovering 3-D motion of a deformable object, i.e., a human. The proposed system is composed of three fixed video cameras which take video images of a human motion.(More)