Title
Extracting foreground in video sequence using segmentation based on motion, contrast and luminance
Abstract
Foreground detection is an important step in various video content analysis systems such as object tracking, recognition and counting. Due to the limitations of each algorithm based on its merits and demerits, so far, there is no consensus on the most effective method due to varying nature of videos. Accuracy and timely computational processing are the two main constraints. Whilst other methods only detect the approximate motion part(s) of object(s) in a video, this paper presents a novel approach to detect the motion part(s) and associated object(s) to get the whole subject. Our work detects foreground by using a new automatic masking technique. The proposed technique uses a set of morphological operators to separate foreground and background. The proposed algorithm is an extension of previous works [1-3]. A complex video sequence was tested to detect comprehensive foreground regions of moving object(s).
Year
DOI
Venue
2012
10.1109/BMSB.2012.6264297
Broadband Multimedia Systems and Broadcasting
Keywords
Field
DocType
feature extraction,image motion analysis,image segmentation,image sequences,object detection,video signal processing,automatic masking technique,foreground detection,foreground extraction,image contrast,image luminance,image segmentation,motion detection,object counting,object recognition,object tracking,video content analysis systems,video sequence,Blockbased motion estimation and Pixel based Foreground Detection,Foreground Detection,Morphological Operation
Object detection,Computer vision,Segmentation,Computer science,Foreground detection,Feature extraction,Image segmentation,Video tracking,Video content analysis,Artificial intelligence,Motion estimation
Conference
ISSN
ISBN
Citations 
2155-504 E-ISBN : 978-1-4673-0294-4
978-1-4673-0294-4
1
PageRank 
References 
Authors
0.36
5
4
Name
Order
Citations
PageRank
Muhammad Junaid Nawaz13711.30
O. Abdul Fatah250.97
John Cosmas324345.34
Amar Aggoun411521.34