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» An Oscillatory Neural Model of Multiple Object Tracking
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TNN
2008
178views more  TNN 2008»
13 years 8 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
CVPR
2005
IEEE
14 years 11 months ago
Tracking Multiple Mouse Contours (without Too Many Samples)
We present a particle filtering algorithm for robustly tracking the contours of multiple deformable objects through severe occlusions. Our algorithm combines a multiple blob track...
Kristin Branson, Serge Belongie
AVSS
2007
IEEE
14 years 3 months ago
Classifying and tracking multiple persons for proactive surveillance of mass transport systems
We describe a pedestrian classification and tracking system that is able to track and label multiple people in an outdoor environment such as a railway station. The features sele...
Suyu Kong, Conrad Sanderson, Brian C. Lovell
CVPR
1999
IEEE
14 years 11 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
IJCNN
2006
IEEE
14 years 2 months ago
Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control
— It is a challenging task for multiple robots working together to realize object transportation. This paper studies a practical situation that a group of mobile manipulators are...
Xin Chen, Yangmin Li