基于Camshift算法的人脸跟踪识别系统的设计

Design of Face Tracking Recognition System Based on Camshift Algorithm

随着网络技术和视频技术的发展,图像捕捉设备成为计算机的标准外设,人脸跟踪已经不仅局限于人脸识别领域,被广泛应用于视屏会议等各个方面。基于此,笔者首先介绍了人脸跟踪的方法,并着重描述了Camshift算法的原理与优势,然后在VS2017平台上设计开发了一个基于Camshift算法的人脸检测与跟踪系统。实验表明该系统的实时性、鲁棒性良好,对于多姿态人脸、特定目标跟踪等特殊情况都具有良好的检测效果。

With the development of network technology and video technology,image capture equipment has become a standard peripheral of computers.Face tracking has not only been limited to the field of face recognition,but also widely used in video conferencing and other aspects.This paper first introduces the method of face tracking,and focuses on the principle and advantages of Camshift algorithm.Then,a face detection and tracking system based on Camshift algorithm is designed and developed on VS2017 platform.The experiment shows that the system has good real-time performance and robustness,and it has good detection effect for special situations such as multi-pose face and specific target tracking.