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Tracking a Screen and Detecting its Rate of Change in 3-D Video Scenes of Multipurpose Halls
Type of publication: Inproceedings
Citation:
Booktitle: JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY
Volume: 12
Number: 1
Year: 2014
Month: March
Pages: 116-121
Organization: 3rd International Conference on Signal, Image Processing and Applications (ICSIA 2013)
Address: Barcelona, Spain
ISSN: 1674-862X CN 51-1724/TN
Abstract: 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.
Keywords: Edge histogram, Pattern Recognition, Scene segmentation, Similarity based classifier, Slide change detection
Authors Charara, Nour
Jarkass, Iman
Maria, Sokhn
Mugellini, Elena
Abou Khaled, Omar
Added by: []
Total mark: 0
Attachments
  • JEST2014_Screen.pdf
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