Real-time tracking of multiple persons

Javier Ruiz-del-Solar, Alon Shats, Rodrigo Verschae
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引用次数: 19

Abstract

Robust tracking of persons in real-world environments and in real-time is a common goal in many video applications. In this paper a computational system for the real-time tracking of multiple persons in natural environments is presented. The system integrates state-of-the-art methodologies for the analysis of movement and color, as well as for the detection of faces. Face detection is complemented by a face tracking module based on heuristics developed by the authors. Exemplary results of the integrated system working in real-world video sequences are shown.
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多人实时跟踪
在现实世界环境中实时跟踪人是许多视频应用的共同目标。本文提出了一种用于自然环境中多人实时跟踪的计算系统。该系统集成了最先进的运动和颜色分析方法,以及面部检测。人脸检测辅以基于启发式算法的人脸跟踪模块。给出了集成系统在实际视频序列中工作的示例性结果。
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