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ICIP
2002
IEEE
16 years 8 months ago
Template tracking using color invariant pixel features
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Hieu Tat Nguyen, Arnold W. M. Smeulders
SIBGRAPI
2007
IEEE
16 years 23 days ago
Multiple Mice Tracking using a Combination of Particle Filter and K-Means
This paper presents a new approach to multiple objects tracking that combines particle filters and k-means. The approach has been tested under an important real world situation, ...
Wesley Nunes Gonçalves, João Bosco O...
CLEAR
2007
Springer
164views Biometrics» more  CLEAR 2007»
16 years 20 days ago
The AIT 2D Face Detection and Tracking System for CLEAR 2007
This paper describes the AIT system for 2D face tracking and the results obtained in the CLEAR 2007 evaluations. The system is based on the complementary operation of a set of face...
Andreas Stergiou, Ghassan Karame, Aristodemos Pnev...
ICRA
2006
IEEE
109views Robotics» more  ICRA 2006»
16 years 16 days ago
Robust Statistics for 3D Object Tracking
Abstract— This paper focuses on methods that enhance performance of a model based 3D object tracking system. Three statistical methods and an improved edge detector are discussed...
Peter Preisig, Danica Kragic
AUSAI
2004
Springer
15 years 12 months ago
A Stochastic Approach to Tracking Objects Across Multiple Cameras
This paper is about tracking people in real-time as they move through the non-overlapping fields of view of multiple video cameras. The paper builds upon existing methods for trac...
Anthony R. Dick, Michael J. Brooks