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ICASSP
2009
IEEE
14 years 2 months ago
Particle filtering for Quantized Innovations
In this paper, we re-examine the recently proposed distributed state estimators based on quantized innovations. It is widely believed that the error covariance of the Quantized In...
Ravi Teja Sukhavasi, Babak Hassibi
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
14 years 1 months ago
Particle filtering using multiple cross-correlations for tracking occluded objects in cluttered scenes
— This paper is concerned with the tracking of partially or entirely occluded objects in a video sequence. We propose certain modifications to the template matching approach, whi...
Arie Nakhmani, Allen Tannenbaum
TIP
2008
177views more  TIP 2008»
13 years 7 months ago
Visual Tracking in High-Dimensional State Space by Appearance-Guided Particle Filtering
Abstract--In this paper, we propose a new approach, appearance-guided particle filtering (AGPF), for high degree-of-freedom visual tracking from an image sequence. This method adop...
Wen-Yan Chang, Chu-Song Chen, Yong-Dian Jian
CVPR
2008
IEEE
14 years 9 months ago
Correspondences between parts of shapes with particle filters
Given two shapes, the correspondence between distinct visual features is the basis for most alignment processes and shape similarity measures. This paper presents an approach intr...
Rolf Lakämper, Marc Sobel
ICIAP
2007
ACM
14 years 7 months ago
An information theoretic rule for sample size adaptation in particle filtering
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...
Oswald Lanz