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» Probabilistic Object Tracking Using Multiple Features
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CVPR
1998
IEEE
14 years 11 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L. ...
ISMAR
2009
IEEE
14 years 3 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...
CLEAR
2006
Springer
230views Biometrics» more  CLEAR 2006»
14 years 27 days ago
An Audio-Visual Particle Filter for Speaker Tracking on the CLEAR'06 Evaluation Dataset
We present an approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a joint particle filter f...
Kai Nickel, Tobias Gehrig, Hazim Kemal Ekenel, Joh...
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
FGCN
2008
IEEE
200views Communications» more  FGCN 2008»
14 years 3 months ago
Fast Method for Multiple Human Face Segmentation in Color Image
Face segmentation has been used in many different applications, such as face tracking, video surveillance in security control system and human computer interface. In this paper we...
Rudy Adipranata, Eddy, Cherry G. Ballangan, Ronald...