TY  - CONF
T1  - Tracking a Screen and Detecting its Rate  of Change in 3-D Video Scenes of Multipurpose Halls
A1  - Charara, Nour
A1  - Jarkass, Iman
A1  - Maria, Sokhn
A1  - Mugellini, Elena
A1  - Abou Khaled, Omar
TI  - JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY
Y1  - 2014
VL  - 12
IS  - 1
SP  - 116
EP  - 121
T2  - 3rd International Conference on Signal, Image  Processing and Applications (ICSIA 2013)
AD  - Barcelona, Spain
SN  - 1674-862X CN 51-1724/TN
KW  - Edge histogram
KW  - Pattern Recognition
KW  - Scene segmentation
KW  - Similarity based classifier
KW  - Slide change detection
N2  - 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.
ER  -