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Volume: 28 | Article ID: art00004
Tracking and Estimating Tridimensional Position Through Camera-PT Array
  DOI :  10.2352/ISSN.2470-1173.2016.3.VSTIA-513  Published OnlineFebruary 2016

Several methods for 3D tracking use previous knowledge of scenario, which include workspace geometry, or active markers, that make feasible the tridimensional tracking of objects. However, in non-controllable scenarios there is a great challenge to guarantee a reliable and robust method. Parallel tracking method using PT-cameras are complicated because there are several conditions that affect motion detection (light, object displacement, PT-camera velocity, to mention a few). This work proposes a strategy for object tracking and estimating tridimensional position through camera-PT array. The camera array is used as a redundant way of focusing on reducing the error calculation. This method consists in simultaneously tracking the target object in all different cameras. Pan & Tilt are used as parameters of vectors in spherical coordinates. The tracking process is performed via active contours, which consists of a set of markers enclosing the target object and considering the contour as a high-energy zone. The tracking is then denoted as a Newton Rapson Optimization process which solves the problem of locating the maxima energy zone by superposing the latest reference position over the newest position in a given pair of images. Finally, our approach is tested in a controlled scenario. Luminance conditions are controlled and local references are used to match the estimated position and the real position.

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Edrei Reyes-Santos, Hugo Jimenez-Hernandez, Leonardo Barriga-Rodríguez, JA Soto-Cajiga, Herlindo H, F Carrizosa-Corral, "Tracking and Estimating Tridimensional Position Through Camera-PT Arrayin Proc. IS&T Int’l. Symp. on Electronic Imaging: Video Surveillance and Transportation Imaging Applications,  2016,

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