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» Probabilistic Object Tracking Using Multiple Features
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ICIP
2002
IEEE
14 years 10 months ago
Parametric contour tracking using unscented Kalman filter
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
Yunqiang Chen, Thomas S. Huang, Yong Rui
IROS
2009
IEEE
143views Robotics» more  IROS 2009»
14 years 3 months ago
Systems and algorithms for autonomously simultaneous observation of multiple objects using robotic PTZ cameras assisted by a wid
— We report an autonomous observation system with multiple pan-tilt-zoom (PTZ) cameras assisted by a fixed wideangle camera. The wide-angle camera provides large but low resolut...
Yiliang Xu, Dezhen Song
ICVGIP
2004
13 years 10 months ago
Active 3-D Object Recognition Using Appearance-Based Aspect Graphs
We present a new active active recognition scheme (using an uncalibrated camera) based on a new idea, appearancebased aspect graphs. The scheme is robust to background clutter, an...
Sumantra Dutta Roy, Nirupama Kulkarni
ICCV
2003
IEEE
14 years 11 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
ICIP
2002
IEEE
14 years 10 months ago
Long term tracking using Bayesian networks
This paper addresses long term tracking of multiple objects with occlusions. Bayesian networks are used to model the interaction among the detected tracks and for conflict managem...
Arnaldo J. Abrantes, João Miranda Lemos, Jo...