支持视频会议的基于Viola-Jones算法的实时目标跟踪系统设计与实现

Bangsa Edwiranda, Bryan Christy Purba, Y. Bandung
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引用次数: 0

摘要

目标跟踪系统是一种能够在序列中逐帧自动检测预定目标的系统。本系统是为支持远程教育的多媒体会议系统而设计的。Viola-Jones算法的使用主要与相对简单,执行速度和图像处理的最小内存需求有关。该算法的发展是通过在Viola-Jones无法检测到人脸区域时添加模板匹配特征来完成的。该算法具有相当简单的功能,可以在低计算能力处理器的系统上使用,其中之一就是Odroid C2。在本研究中,开发了一种目标跟踪装置,其特点是由两个步进电机和集成电路电子器件组成的平移和倾斜支架相机驱动器。远程控制器组件用于增加对系统的远程控制。
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Design and Implementation of Real-time Object Tracking System based on Viola-Jones Algorithm for Supporting Video Conference
Object tracking system is a system that can detect pre-defined object from frame to frame in a sequence automatically. In this research, the system is designed for supporting multimedia conferencing system for distance learning. Viola-Jones algorithm is used mainly related to relative simplicity, execution speed, and minimum memory requirement for image processing. The development of the algorithm is done by adding a template matching feature when Viola-Jones fails to detect the face area. With a fairly simple function, this algorithm can be used on system with low computing power processor, one of them is Odroid C2. In this research, an object tracking device is developed and featured with a pan and tilt bracket camera drive with two stepper motors and integrated circuit electronics. The remote controller component is added to the system to add control over the system remotely.
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