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Generalized visual rhythm and tracking in sport images

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Author(s):
Fábio Augusto Salve Dias
Total Authors: 1
Document type: Master's Dissertation
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Instituto de Computação
Defense date:
Examining board members:
Neucimar Jerônimo Leite; Ricardo Machado Leite de Barros; Ricardo da Silva Torres
Advisor: Neucimar Jerônimo Leite
Abstract

The automatic tracking in the video images is becoming increasingly popular, in many different contexts, making available information that, otherwise, would be very laborious or even impossible to be obtained. However, most of the methods perform the tracking in the image domain not in the natural three-dimensional domain. For sports images, with rapid motions, color similarity and occlusions, the three-dimensional approach is an interesting alternative. In this work, we introduce a tracking method in the three-dimensional domain, based on some requirements, feasible in the sports context, aiming fully automatic tracking of the players. We also introduce the generalization of the visual rhythm concept and its use to the tracking problem, leading to a simple, intuitive, and automatic method. To use the generalization of the visual rhythm, we also developed algorithms to detect moving objects, camera calibration and three-dimensional reconstruction, and an algorithm based on graphs for the segmentation of the trajectory of each moving object in the scene, considering information obtained through the visual rhythm. We also show experimental results of the proposed method, in sports images and controlled environments, including cases where not all the requirements are fulfilled, yielding failures of the proposed approach (AU)