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Tracking a Screen and Detecting Its Rate of Change in 3-D Video Scenes of Multipurpose Halls |
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| Authors: | N Charara I Jarkass M Sokhn O AbouKhaled E Mugellini |
| Affiliation: | 1.University of Applied Sciences of Western Switzerland,Perolles 80,CH-1705 Fribourg,Switzerland,and he is also with the Lebanese University,Beirut,Lebanon;2.LSI Department,University Institutes of Technology,Lebanese University,Pb. 813,Sa?da,Lebanon;3.Business Information Systems,University of Applied Sciences Western Switzerland,Sierre;4.ICT Department,University of Applied Sciences of Western Switzerland,Perolles 80,CH-1705 Fribourg,Switzerland |
| Abstract: | An automatic approach is presented 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 by using the 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 salient visual cues extraction to retrieve the emphasized changes required in rate-ofchange computation. In addition to video document indexing and retrieval, this work can improve the machine vision capability in behavior analysis and pattern recognition. |
| Keywords: | Edge histogram pattern recognition scene segmentation slide change detection similarity based classifier |
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