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INFFUS
2008
71views more  INFFUS 2008»
13 years 5 months ago
Improvement of an association algorithm for obstacle tracking
Yann Lemeret, E. Lefevre, Daniel Jolly
JFR
2010
119views more  JFR 2010»
13 years 8 days ago
Unsupervised classification of dynamic obstacles in urban environments
This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
Roman Katz, Juan Nieto, Eduardo Mario Nebot
BTW
2009
Springer
127views Database» more  BTW 2009»
14 years 1 days ago
In-Network Detection of Anomaly Regions in Sensor Networks with Obstacles
: In the past couple of years, sensor networks have evolved to a powerful infrastructure component for monitoring and tracking events and phenomena in many application domains. An ...
Conny Franke, Marcel Karnstedt, Daniel Klan, Micha...
ICPR
2006
IEEE
14 years 6 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
CVPR
2009
IEEE
13 years 9 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia