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» Tracking Large Variable Numbers of Objects in Clutter
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CVIU
2007
107views more  CVIU 2007»
13 years 7 months ago
Robot-vision architecture for real-time 6-DOF object localization
This paper presents a new robot-vision system architecture for real-time moving object localization. The 6-DOF (3 translation and 3 rotation) motion of the objects is detected and...
Yasushi Sumi, Yutaka Ishiyama, Fumiaki Tomita
CVPR
2000
IEEE
14 years 3 days ago
Adaptive Bayesian Recognition in Tracking Rigid Objects
We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...
Yuri Boykov, Daniel P. Huttenlocher
WACV
2005
IEEE
14 years 1 months ago
Shared Features for Scalable Appearance-Based Object Recognition
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Erik Murphy-Chutorian, Jochen Triesch
CVPR
2009
IEEE
15 years 1 months ago
Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
CVPR
2007
IEEE
14 years 9 months ago
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
Alper Yilmaz