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ICIAR
2005
Springer
15 years 3 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
ECCV
2006
Springer
15 years 1 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
ICCV
2007
IEEE
15 years 11 months ago
Non-Linear Beam Model for Tracking Large Deformations
In this paper we investigate physics-based plane beam model, frequently used in mechanical and civil engineering, to track large non-linear deformations in images. Such models do ...
Slobodan Ilic, Pascal Fua
FGR
2000
IEEE
163views Biometrics» more  FGR 2000»
15 years 1 months ago
Tracking Interacting People
A computer vision system for tracking multiple people in relatively unconstrained environments is described. Trackerformed at three levels of abstraction: regions, people and grou...
Stephen J. McKenna, Sumer Jabri, Zoran Duric, Harr...
IVC
2006
193views more  IVC 2006»
14 years 9 months ago
Object tracking in an outdoor environment using fusion of features and cameras
This paper presents methods for tracking moving objects in an outdoor environment. A robust tracking is achieved using feature fusion and multiple cameras. The proposed method int...
Quming Zhou, J. K. Aggarwal