Visual Tracking Based on 3D Probabilistic Reconstruction

G. Simas, Rodrigo de Bem, L. Novelo, Guilherme P. Fickel, S. Botelho
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Abstract

This paper presents an approach to the 3D visual tracking problem into multi-camera environments. This proposal executes the markerless visual tracking observing the environment through a model based in a volumetric reconstruction technique, called 3D Probabilistic Occupancy Grids, which is still seldom used for this purpose. The target is tracked by the use of Expectation-Maximization algorithm with an object representation model constructed with Gaussians blobs representing the object body parts.
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基于三维概率重建的视觉跟踪
提出了一种多摄像机环境下三维视觉跟踪问题的解决方法。该方案通过基于三维概率占用网格(3D Probabilistic Occupancy Grids)体积重建技术的模型来实现对环境的无标记视觉跟踪。利用期望最大化算法对目标进行跟踪,并建立了以高斯斑点表示目标体部分的对象表示模型。
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