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Tracking a Screen and Detecting its Rate of Change in 3-D Video Scenes of Multipurpose Halls
Art der Publikation: Artikel in einem Konferenzbericht
Zitat:
Buchtitel: JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY
Band: 12
Nummer: 1
Jahr: 2014
Monat: März
Seiten: 116-121
Organisation: 3rd International Conference on Signal, Image Processing and Applications (ICSIA 2013)
Ort: Barcelona, Spain
ISSN: 1674-862X CN 51-1724/TN
Abriss: 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.
Schlagworte: Edge histogram, Pattern Recognition, Scene segmentation, Similarity based classifier, Slide change detection
Autoren Charara, Nour
Jarkass, Iman
Maria, Sokhn
Mugellini, Elena
Abou Khaled, Omar
Hinzugefügt von: []
Gesamtbewertung: 0
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