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This paper presents a low cost real-time alternative to available commercial human motion capture systems. First, a set of distinguishable markers are placed on several human body landmarks and the scene is captured by a number of calibrated and synchronized cameras. In order to establish a physical relation among markers, a human body model (HBM) is defined. Markers are detected on all camera views...
A reliable model-based human motion tracking scheme is presented. In this approach, silhouette image sequences from a top-view camera and a side-view camera work together to track human motion in 3D space in real time. The adoption of one top view camera introduces many attractive characteristics. A convenient calibration scheme is presented by decoupling different camera parameters to the largest...
In this paper, we present a novel real-time face tracking system using rank deficient face detection. Real time computer vision systems need to be fast and efficient to be of practical application. Moreover, the system should be adaptable to diverse real life situations with varied availability of resources. We detect human face in an input grayscale image using a rank deficient face detection algorithm,...
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