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» Pearson-based mixture model for color object tracking
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ICIP
2008
IEEE
13 years 11 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
IROS
2006
IEEE
139views Robotics» more  IROS 2006»
13 years 10 months ago
Tracking Articulating Objects from Ground Vehicles using Mixtures of Mixtures
— An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background...
Wael Abd-Almageed, Mohamed E. Hussein, Larry S. Da...
ICASSP
2011
IEEE
12 years 8 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
ECCV
2010
Springer
13 years 10 months ago
Dynamic Color Flow: A Motion-Adaptive Color Model for Object Segmentation in Video
Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, ...
ICASSP
2011
IEEE
12 years 8 months ago
Rao-Blackwellized particle filter for Gaussian mixture models and application to visual tracking
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time...
Jungho Kim, In-So Kweon