Tracking football players with a conventional mobile device camera

Eirini Charalampaki, A. Malamos
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引用次数: 1

Abstract

One of many important tasks in computer vision applications is real time object detection and tracking. Although classical tracking algorithms work accurately in perfectly arranged conditions, tracking objects in real-life situations poses challenges due to the multitude of variable conditions. However, efficient object tracking is a difficult task due to the multitude of the conditions met. Significant problems arise in computer vision systems, especially under the presence of noise, scene illumination, object shape variation and total or partial occlusion. The purpose of this paper is to develop a method for effective object tracking and detection in complex scenes, such as sports games. The proposed approach would enable to accurately track targets in motion in real scenes.
用传统的移动设备摄像头跟踪足球运动员
实时目标检测与跟踪是计算机视觉应用中的重要任务之一。尽管经典的跟踪算法在完美安排的条件下可以准确地工作,但在现实生活中,由于多种可变条件,跟踪对象会带来挑战。然而,由于满足的条件众多,有效的目标跟踪是一项艰巨的任务。在计算机视觉系统中出现了一些重要的问题,特别是在噪声、场景照明、物体形状变化和完全或部分遮挡的情况下。本文的目的是开发一种在复杂场景中有效的目标跟踪和检测方法,如体育比赛。所提出的方法能够准确地跟踪真实场景中的运动目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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