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In this paper, we propose an indoor action detection system which can automatically keep the log of users' activities of daily life since each activity generally consists of a number of actions. The hardware setting here adopts top-view depth cameras which makes our system less privacy sensitive and less annoying to the users, too. We regard the series of images of an action as a set of key-poses...
Least Squares Support Vector Machines could satisfactorily describes the non-linear relationships between the image information and the 3D information. It doesn't need to confirm internal and external parameters of the camera. The kernel function parameter and penalty parameter is a pivotal factor which decides performance of LS-SVM. Most users select parameters for an LS-SVM by rule of thumb, which...
Camera calibration is one of fundamental issues in computer vision and required for achieving accurate visual measurements. Least Squares Support Vector Machines (LS-SVM) are used to achieve the camera calibration. It doesn't need to confirm the intrinsic and extrinsic parameter of the camera. For a little more accurate calibration, acquired image is divided into two regions according to radial distortion...
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