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» Video Objects Segmentation by Robust Background Modeling
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CVPR
2009
IEEE
15 years 2 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...
CVPR
2006
IEEE
14 years 1 months ago
3D Reconstruction of Background and Objects Moving on Ground Plane Viewed from a Moving Camera
We present a novel method to obtain a 3D Euclidean reconstruction of both the background and moving objects in a video sequence. We assume that, multiple objects are moving rigidl...
Chang Yuan, Gérard G. Medioni
ICIP
2009
IEEE
13 years 5 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
ICIAR
2005
Springer
14 years 1 months ago
Real-Time and Robust Background Updating for Video Surveillance and Monitoring
Abstract. Background updating is an important aspect of dynamic scene analysis. Two critical problems: sudden camera perturbation and the sleeping person problem, which arise frequ...
Xingzhi Luo, Suchendra M. Bhandarkar
AVSS
2008
IEEE
13 years 9 months ago
Evaluation of Background Subtraction Algorithms with Post-Processing
Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications. Background subtraction (BGS) is a common...
Donovan H. Parks, Sidney Fels