The Virtual Trial Room (VTR) application software simulates an apparel dressing room by the implementation of a virtual mirror, portraying an augmented view of the user with virtual superimposed clothes. Traditional approach to the design and implementation of virtual dressing rooms have been wildly using either normal webcams with Tag/Marker based tracking or expensive 3D depth & motion sensing cameras like Microsoft Kinect. The main idea of this paper is to methodologically devise a novel VTR solution deploying ubiquitous 2D webcams with tag-less tracking, in a real-time live video mode using open source tools and technologies. The solution model implements a tag-less or marker-less Augmented Reality (AR) technique with face detection technology and provides an intuitive motion-augmented User Interface (UI) to the VTR application, in the form of an interactive human-friendly Virtual Mirror using simple hand gestures. A qualitative performance analysis of the application is evaluated at the end of the paper to determine the fundamental susceptibility of the VTR system against varied illumination conditions.