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» Object Detection in Video via Particle Filters
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396views
16 years 1 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
136
Voted
TITS
2008
189views more  TITS 2008»
15 years 4 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
16 years 5 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&...
134
Voted
ICMCS
2009
IEEE
180views Multimedia» more  ICMCS 2009»
15 years 1 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
16 years 6 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...