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PREMI
2007
Springer
15 years 8 months ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...
CVPR
2003
IEEE
16 years 4 months ago
Deformable Object Tracking Using the Boundary Element Method
This paper presents a method to perform 2D deformable object tracking using the boundary element method (BEM). BEM, like the finite element method (FEM), is a technique to model a...
Michael A. Greminger, Bradley J. Nelson
129
Voted
ISMAR
2007
IEEE
15 years 9 months ago
Real-Time Object Tracking for Augmented Reality Combining Graph Cuts and Optical Flow
We present an efficient and accurate object tracking algorithm based on the concept of graph cut segmentation. The ability to track visible objects in real-time provides an inval...
Jonathan Mooser, Suya You, Ulrich Neumann
117
Voted
ICIP
2002
IEEE
15 years 7 months ago
Segmentation-based object tracking using image warping and Kalman filtering
We propose a segmentation-based method of object tracking using image warping and Kalman filtering. The object region is defined to include a group of patches, which are obtained ...
Yu Huang, Thomas S. Huang, Heinrich Niemann
194
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ICAPR
2009
Springer
15 years 12 days ago
Tracking Multiple Circular Objects in Video Using Helmholtz Principle
A novel algorithm is introduced to track multiple circular objects present in a video using Helmholtz perception principle. First, segmentation of circular objects in the video fra...
Snehasis Mukherjee, Dipti Prasad Mukherjee