Single Camera Body Tracking for Virtual Fitting Room Application

R. Chandra, Fajar Febriyan, T. Rochadiani
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引用次数: 9

Abstract

Online shopping through e-commerce has grown rapidly in the last 4 years and clothing is one of the most in-demand products on e-commerce sites. However, many customers still hesitate to buy their clothing online because of concerns that the product may not fit properly. One technology-based solution to this problem is the Virtual Fitting Room, developed in 2011 using the Kinect. To reach a wider range of customers, Virtual Fitting Room technology will need to be further developed to work on a smartphone. This paper is implementing the Virtual Fitting Room's body tracking system using a single optical camera on a smartphone. Viola-Jones algorithm is used to implement our single-camera body tracking technology through OpenCV and Android Studio. The method is to detect the full body first before tracking the upper body, in both cases using haar feature-based cascades to measure the size of the body based on a model of the human body that follows the golden ratio. The system was successfully implemented accurately with the method of finding mode every five measurements and detections with average error equal to 0.566667 cm.
虚拟试衣间单摄像头身体跟踪应用
在过去的4年里,通过电子商务进行的网上购物增长迅速,服装是电子商务网站最受欢迎的产品之一。然而,许多顾客仍然不愿意在网上购买衣服,因为他们担心产品可能不合适。针对这个问题,一个基于技术的解决方案是2011年使用Kinect开发的虚拟试衣间(Virtual Fitting Room)。为了接触到更广泛的客户,虚拟试衣间技术还需要进一步开发,以便在智能手机上运行。本文利用智能手机上的单个光学摄像头实现虚拟试衣间的身体跟踪系统。使用Viola-Jones算法通过OpenCV和Android Studio实现我们的单摄像头身体跟踪技术。该方法是在追踪上半身之前先检测全身,在这两种情况下都使用基于haar特征的级联来测量身体的大小,这是基于遵循黄金比例的人体模型。该系统以每5次测量检测一次寻模的方法成功实现,平均误差为0.566667 cm。
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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