scholarly journals A SUPPORT VECTOR DATA DESCRIPTION APPROACH FOR BACKGROUND MODELING IN VIDEOS WITH QUASI-STATIONARY BACKGROUNDS

2008 ◽  
Vol 17 (04) ◽  
pp. 635-658 ◽  
Author(s):  
ALIREZA TAVAKKOLI ◽  
MIRCEA NICOLESCU ◽  
GEORGE BEBIS ◽  
MONICA NICOLESCU
Keyword(s):  
Video Processing ◽  
Video Segmentation ◽  
Statistical Technique ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Region Detection ◽  
Foreground Region ◽  
Training Samples ◽  
Detection Of Objects ◽  
High Level

Video segmentation is one of the most important tasks in high-level video processing applications. Stationary cameras are usually used in applications such as video surveillance and human activity recognition. However, possible changes in the background of the video such as waving flags, fluctuating monitors, water surfaces, etc. make the detection of objects of interest particularly challenging. These types of backgrounds are called quasi-stationary backgrounds. In this paper we propose a novel, non-statistical technique to generate a background model and use this model for background subtraction and foreground region detection in the presence of such challenges. The main advantage of the proposed method over the state of the art is that unlike statistical techniques the accuracy of foreground regions is not limited to the estimate of the probability density. Also, the memory requirements of our method are independent of the number of training samples. This makes the proposed method useful in various scenarios including the presence of slow changes in the background. A comprehensive study is presented on the efficiency of the proposed method. Its performance is compared with various existing techniques quantitatively and qualitatively to show its superiority in various applications.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

VIDEO PROCESSING IN VISUAL SYSTEM FOR COLOR DETECTION FOR PEOPLE WITH TRITANOPIA

2018 ◽  
Vol 7 (3) ◽  
pp. 17
Author(s):  
A. PENDHARI NAZNEEN ◽  
R. SEDAMKAR RAGHAVENDRA ◽  
◽  
Keyword(s):  
Visual System ◽  
Video Processing ◽  
Color Detection
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