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» Novel Observation Model for Probabilistic Object Tracking
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CVPR
2010
IEEE
14 years 5 months ago
Probabilistic 3D Occupancy Flow with Latent Silhouette Cues
In this paper we investigate shape and motion retrieval in the context of multi-camera systems. We propose a new lowlevel analysis based on latent silhouette cues, particularly su...
Li Guan, Jean-Sebastien Franco, Edmond Boyer, Marc...
CVPR
2007
IEEE
14 years 3 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
ICPR
2006
IEEE
14 years 10 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
ICPR
2008
IEEE
14 years 10 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
SAC
2011
ACM
12 years 12 months ago
Tracking continuous topological changes of complex moving regions
A moving region whose location and extend change over time can imply topological changes such as region split and hole formation. To study this phenomenon is useful in many applic...
Hechen Liu, Markus Schneider