Sciweavers

205 search results - page 9 / 41
» The Background Subtraction Problem for Video Surveillance Sy...
Sort
View
PCM
2004
Springer
102views Multimedia» more  PCM 2004»
14 years 25 days ago
Background Modeling Using Phase Space for Day and Night Video Surveillance Systems
This paper presents a novel background modeling approach for day and night video surveillance. A great number of background models have been proposed to represent the background sc...
Yu-Ming Liang, Arthur Chun-Chieh Shih, Hsiao-Rong ...
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
CRV
2009
IEEE
139views Robotics» more  CRV 2009»
13 years 5 months ago
A Multiple Hypothesis Tracking Method with Fragmentation Handling
In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and ...
Atousa Torabi, Guillaume-Alexandre Bilodeau
ICASSP
2011
IEEE
12 years 11 months ago
A probabilistic pixel-based approach to detect humans in video streams
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic. This paper ...
Sébastien Piérard, Antoine Lejeune, ...
ICIP
2003
IEEE
14 years 9 months ago
A Bayesian framework for Gaussian mixture background modeling
Background subtraction is an essential processing component for many video applications. However, its development has largely been application driven and done in ad hoc manners. I...
Dar-Shyang Lee, Jonathan J. Hull, Berna Erol