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AVSS
2005
IEEE
15 years 8 months ago
Multiple object tracking using elastic matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is gener...
Xingzhi Luo, Suchendra M. Bhandarkar
ICIAR
2005
Springer
15 years 8 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
FGR
2000
IEEE
162views Biometrics» more  FGR 2000»
15 years 6 months ago
Person Tracking in Real-World Scenarios Using Statistical Methods
This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
Gerhard Rigoll, Stefan Eickeler, Stefan Mülle...
124
Voted
CVPR
2006
IEEE
15 years 8 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
134
Voted
ICCV
1999
IEEE
16 years 4 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...