Tracking a Screen and Detecting Its Rate of Change in 3-D Video Scenes of Multipurpose Halls
Nour Charara, Iman Jarkass, Maria Sokhn, O. AbouKhaled, Elena Mugellini · ArODES (HES-SO (https://www.hes-so.ch/)) · 2014
This paper presents an automatic approach to track a wide screen in a multipurpose hall video scene. Once the screen is located, this system also generates the temporal rate of change, using edge detection based method. Our approach adopts a scene segmentation algorithm that explores visual features (texture) and depth information to perform efficient screen localization. The cropped region which refers to the wide screen undergoes a salient visual cues extraction to retrieve the emphasized changes required in rate-of-change computation. In addition to video document indexing and retrieval, this work can improve the machine vision capability in behavior analysis and pattern recognition.