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» Video Objects Segmentation by Robust Background Modeling
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147
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ICVGIP
2004
15 years 5 months ago
Learning Layered Pictorial Structures from Video
We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
111
Voted
ECAI
2000
Springer
15 years 8 months ago
Activity Recognition from Video Sequences using Declarative Models
Abstract. We propose here a new approach for video sequence interpretation based on declarative models of activities. The aim of the video sequence interpretation is to recognize i...
Nathanaël Rota, Monique Thonnat
137
Voted
CVPR
2007
IEEE
16 years 5 months ago
Multi-scale Structural Saliency for Signature Detection
Detecting and segmenting free-form objects from cluttered backgrounds is a challenging problem in computer vision. Signature detection in document images is one classic example an...
Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stef...
174
Voted
PAA
2010
14 years 10 months ago
Multiple Condensation filters for road detection and tracking
In this paper, we present a novel and robust road tracking system for vision-based personal navigation. Novelty of the work includes the use of multiple Condensation filters to tra...
Li Bai, Yan Wang, Michael C. Fairhurst
CVPR
2012
IEEE
13 years 6 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...