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» Multiple Object Tracking with Kernel Particle Filter
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ICIP
2006
IEEE
14 years 9 months ago
An adaptive mixture color model for robust visual tracking
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
Antoine Lehuger, Patrick Léchat, Patrick P&...
AVSS
2006
IEEE
14 years 1 months ago
A Multi-Class Tracker Using a Scalable Condensation Filter
Tracking systems are typically targeted towards tracking a single class of object. In many real world situations, and in the ETISEO evaluation, it is advantageous to be able to tr...
Simon Denman, Vinod Chandran, Sridha Sridharan, Cl...
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
ECCV
2006
Springer
13 years 11 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
ICASSP
2010
IEEE
13 years 5 months ago
Disambiguation in multidimensional tracking of multiple acoustic sources using a Gaussian likelihood criterion
The TDOA-based acoustic source localization approaches suffer from a pairing problem in the case of multiple dimensions and multiple sources. To resolve this problem, usually thre...
Pengxiao Teng, Anthony Lombard, Walter Kellermann