On the role and the importance of features for background modeling and foreground detection
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …
applications in video surveillance. Background modeling methods have become increasing …
An efficient pixel-wise method for moving object detection in complex scenes
W Feng, R Liu, B Jia, M Zhu - 2013 10th IEEE International …, 2013 - ieeexplore.ieee.org
Moving object detection is often one of the most basic and important stages in computer
vision applications. In this paper, a novel background model is proposed to extract moving …
vision applications. In this paper, a novel background model is proposed to extract moving …
[PDF][PDF] Novel data mining framework for object detection in video surveillance system using cellular logic array
S Singh - 2018 - dr.ddn.upes.ac.in
There are scores of applications such as hot pursuit of a criminal by law enforcement
agencies, video record of accidents, automatic parking systems, object detection, complying …
agencies, video record of accidents, automatic parking systems, object detection, complying …
Feature extraction and selection for background modeling and foreground detection
CPDE Silva - 2017 - theses.hal.science
In this thesis, we present a robust descriptor for background subtraction which is able to
describe texture from an image sequence. The descriptor is less sensitive to noisy pixels …
describe texture from an image sequence. The descriptor is less sensitive to noisy pixels …
A Foreground Extraction Method by Using Multi-Resolution Edge Aggregation Algorithm
W Zhu, B Wang, X Hu, Y Zhao - … , ICIG 2015, Tianjin, China, August 13-16 …, 2015 - Springer
Foreground extraction is a fundamental step of video analysis. The common solution for
foreground extraction is background subtraction which is based on color information …
foreground extraction is background subtraction which is based on color information …