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The analysis of foot movements is important in sports and computer vision can be used to provide feedback to athletes about their foot placements. This paper describes a method for locating and rendering an athlete's foot placements over a geometric plane for professional analysis. Results and method for our implementation are discussed. This method uses background subtraction and blob segmentation...
In this paper we introduce a large body of virtual human action silhouette (ViHASi) data that we have recently generated for the purpose of evaluating a family of action recognition methods. These are the silhouette-based human action recognition methods. This synthetic multi-camera video data-set consists of 20 action classes, 9 actors and up to 40 synchronized perspective cameras. This data-set...
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