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» Probabilistic Object Tracking Using Multiple Features
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ICIP
2003
IEEE
14 years 9 months ago
Audio-visual speaker tracking with importance particle filters
We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and ...
Daniel Gatica-Perez, Guillaume Lathoud, Iain McCow...
ICIAP
2007
ACM
14 years 1 months ago
Object Tracking at Multiple Levels of Spatial Resolutions
Tracking is usually performed at a single level of data resolution. This paper describes a multi-resolution tracking framework developed with efficiency and robustness in mind. E...
Son Dinh Tran, Larry S. Davis
ICASSP
2011
IEEE
12 years 11 months ago
Color correction for object tracking across multiple cameras
Color is a powerful attribute that is used to characterize objects for tracking and other surveillance tasks. Since color is dependent on ambient illumination and the imaging equi...
Satyam Srivastava, Ka Ki Ng, Edward J. Delp
HRI
2006
ACM
14 years 1 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
CLEAR
2006
Springer
133views Biometrics» more  CLEAR 2006»
13 years 11 months ago
Multi-feature Graph-Based Object Tracking
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
Murtaza Taj, Emilio Maggio, Andrea Cavallaro