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» Object Detection in Video via Particle Filters
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396views
14 years 5 months ago
Detecting Abandoned Objects with A Moving Camera
This paper presents a novel framework for detecting non-flat abandoned objects by matching a reference and a target video sequences. The reference video is taken by a moving camera...
Hui Kong, Jean-Yves Audibert and Jean Ponce
TITS
2008
189views more  TITS 2008»
13 years 8 months ago
Robust Road Modeling and Tracking Using Condensation
In this paper, we present a robust road detection and tracking method based on a condensation particle filter for real-time video-based navigation applications. The image is divide...
Yan Wang, Li Bai, Michael C. Fairhurst
ICIP
2006
IEEE
14 years 10 months ago
An adaptive mixture color model for robust visual tracking
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
Antoine Lehuger, Patrick Léchat, Patrick P&...
ICMCS
2009
IEEE
180views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Foreground segmentation for static video via multi-core and multi-modal graph cut
We proposed a new foreground detection method using the static cameras. It merges multi-modality into graph cut energy function, and performs much better results than conventional...
Lun-Yu Chang, Winston H. Hsu
CVPR
2007
IEEE
14 years 10 months ago
The Effect of Pixel-Level Fusion on Object Tracking in Multi-Sensor Surveillance Video
This paper investigates the impact of pixel-level fusion of videos from visible (VIZ) and infrared (IR) surveillance cameras on object tracking performance, as compared to trackin...
Nedeljko Cvejic, Stavri G. Nikolov, Henry D. Knowl...