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» Multiple Object Tracking Using Local PCA
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ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
IROS
2008
IEEE
126views Robotics» more  IROS 2008»
14 years 2 months ago
An optical external localization system and applications to indoor tracking
— Precise robot positioning is important for many applications in indoor environments. Current solutions to the indoor localization problem are either both unreliable and inaccur...
Srujan Linga, Binayak Roy, H. Harry Asada, Daniela...
CCECE
2011
IEEE
12 years 8 months ago
An algorithm for object tracking based on adaptive triangle shape mesh estimation method
— Although "Adaptive Mesh" is regarded as complicating method for object tracking accompanied with many controversies and obstacles, but it has been proposed that such ...
Mahdi Koohi, Mahdi Narghi, Abbas Shakery
ICCV
2009
IEEE
13 years 5 months ago
Video object segmentation by tracking regions
This paper presents an approach to unsupervised segmentation of moving and static objects occurring in a video. Objects are, in general, spatially cohesive and characterized by lo...
William Brendel, Sinisa Todorovic
AUSAI
2008
Springer
13 years 10 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka