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» Using Optical Flow for Tracking
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CVPR
1998
IEEE
14 years 10 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
DFG
2007
Springer
14 years 2 months ago
GPU Accelerated Gesture Detection for Real Time Interaction
: Over the past years, the interaction between humans and computers (HCI) evolved to one of the most important research topics in computer science. Therefore, finding a way for an...
Torsten Bierz, Achim Ebert, Jörg Meyer
VISSYM
2003
13 years 10 months ago
Feature Flow Fields
Feature tracking algorithms for instationary vector fields are usually based on a correspondence analysis of the features at different time steps. This paper introduces a method ...
Holger Theisel, Hans-Peter Seidel
ICCV
2007
IEEE
14 years 10 months ago
Non-rigid Photometric Stereo with Colored Lights
We present an algorithm and the associated capture methodology to acquire and track the detailed 3D shape, bends, and wrinkles of deforming surfaces. Moving 3D data has been diffi...
Björn Stenger, Carlos Hernández, Gabri...
ICIP
2008
IEEE
14 years 3 months ago
An adaptive background model initialization algorithm with objects moving at different depths
Background subtraction is an essential element in most object tracking and video surveillance systems. The success of this low-level processing step is highly dependent on the qua...
Chia-Chih Chen, J. K. Aggarwal