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» Detecting and Tracking Moving Objects for Video Surveillance
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ICCV
1999
IEEE
16 years 3 months ago
Wallflower: Principles and Practice of Background Maintenance
Background maintenance is a frequent element of video surveillance systems. We develop Wallflower, a threecomponent system for background maintenance: the pixellevel component per...
Kentaro Toyama, John Krumm, Barry Brumitt, Brian M...
MVA
2000
166views Computer Vision» more  MVA 2000»
15 years 2 months ago
Motion Segmentation and Tracking by Embedding Global Model Within a Contextual Relaxation Scheme
IAPR Workshop on Machine Vision and Applications, pp. 455-458, 2000, Tokyo, Japan In this paper, we integrate the model-based tracking and local contexture (temporal and spatial) ...
Yunqiang Chen, Thomas S. Huang
BIBM
2007
IEEE
162views Bioinformatics» more  BIBM 2007»
15 years 7 months ago
Multiple Interacting Subcellular Structure Tracking by Sequential Monte Carlo Method
With the wide application of green fluorescent protein (GFP) in the study of live cells, there is a surging need for the computer-aided analysis on the huge amount of image seque...
Quan Wen, Jean Gao, Kate Luby-Phelps
ICIP
2006
IEEE
16 years 3 months ago
Summarization and Indexing of Human Activity Sequences
In order to summarize a video consisting of a sequence of different activities, there are three fundamental problems: tracking the objects of interest, detecting the activity chan...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
ICCV
2001
IEEE
16 years 3 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick