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AIPR
2001
IEEE
13 years 11 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
ACCV
2006
Springer
14 years 1 months ago
Online Updating Appearance Generative Mixture Model for Meanshift Tracking
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...
Jilin Tu, Hai Tao, Thomas S. Huang
AVSS
2005
IEEE
14 years 1 months ago
Tracking motion objects in infrared videos
We propose motion detection and object tracking method that is particularly suitable for infrared videos. Detection of moving objects in infrared videos is based on changing textu...
Longin Jan Latecki, Roland Miezianko, Dragoljub Po...
MVA
2007
121views Computer Vision» more  MVA 2007»
13 years 9 months ago
Tracking Features with Global Motion Compensation for Drone Camera Servoing
This paper deals with visual servoing for a pan and tilt camera embedded in a drone. Video is transmitted to the ground where images are processed on a PC, and turret controls are...
Benoît Louvat, Laurent Bonnaud, Nicolas Marc...
ICPR
2008
IEEE
14 years 2 months ago
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking
The mean-shift (MS) algorithm is widely used in object tracking because of its speed and simplicity. However, it assumes certain overlap of object appearance and smooth change in ...
Zhidong Li, Jing Chen, Nicol N. Schraudolph