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» Real-Time Tracking of Non-Rigid Objects Using Mean Shift
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CVPR
2005
IEEE
14 years 7 months ago
Efficient Mean-Shift Tracking via a New Similarity Measure
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
3DIM
2003
IEEE
13 years 11 months ago
Stable Real-Time Interaction Between Virtual Humans And Real Scenes
We present an Augmented Reality system that relies on purely passive techniques to solve the real-time registration problem. It can run on a portable PC and does not require engin...
Luca Vacchetti, Vincent Lepetit, George Papagianna...
VIP
2003
13 years 7 months ago
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
John G. Allen, Richard Y. D. Xu, Jesse S. Jin
ICCV
2005
IEEE
13 years 11 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
ICIAP
2007
ACM
14 years 5 months ago
Cooperative Object Tracking with Multiple PTZ Cameras
Research in visual surveillance systems is shifting from using few stationary, passive cameras to employing large heterogeneous sensor networks. One promising type of sensor in pa...
I. Everts, Nicu Sebe, G. A. Jones