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» Model-Based Motion Clustering Using Boosted Mixture Modeling
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AAAI
2008
13 years 7 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
ICCV
1999
IEEE
14 years 7 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
ICASSP
2010
IEEE
13 years 5 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
TMM
2008
167views more  TMM 2008»
13 years 5 months ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang
TFS
2008
131views more  TFS 2008»
13 years 5 months ago
A Fuzzy Qualitative Framework for Connecting Robot Qualitative and Quantitative Representations
Abstract-- This paper proposes a novel framework for describing articulated robot kinematics motion with the goal of providing a unified representation by combining symbolic or qua...
Honghai Liu