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» Clustering Moving Objects in Spatial Networks
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TMM
2008
167views more  TMM 2008»
13 years 7 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
ECCV
2006
Springer
13 years 11 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
IPSN
2007
Springer
14 years 1 months ago
Object tracking in the presence of occlusions via a camera network
This paper describes a sensor network approach to tracking a single object in the presence of static and moving occluders using a network of cameras. To conserve communication ban...
Ali Ozer Ercan, Abbas El Gamal, Leonidas J. Guibas
ER
2005
Springer
295views Database» more  ER 2005»
14 years 1 months ago
Spatio-temporal Similarity Analysis Between Trajectories on Road Networks
Abstract. In order to analyze the behavior of moving objects, a measure for determining the similarity of trajectories needs to be defined. Although research has been conducted th...
Jung-Rae Hwang, Hye-Young Kang, Ki-Joune Li
CVPR
2012
IEEE
11 years 10 months ago
Video segmentation by tracing discontinuities in a trajectory embedding
Our goal is to segment a video sequence into moving objects and the world scene. In recent work, spectral embedding of point trajectories based on 2D motion cues accumulated from ...
Katerina Fragkiadaki, Geng Zhang, Jianbo Shi