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» An online learned CRF model for multi-target tracking
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ISVC
2010
Springer
13 years 4 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
ESANN
2008
13 years 7 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
IPSN
2004
Springer
13 years 11 months ago
Distributed online localization in sensor networks using a moving target
We describe a novel method for node localization in a sensor network where there are a fraction of reference nodes with known locations. For application-specific sensor networks, ...
Aram Galstyan, Bhaskar Krishnamachari, Kristina Le...

Publication
1301views
14 years 6 months ago
Markovian Tracking-by-Detection from a Single, Uncalibrated Camera
We present an algorithm for multi-person tracking-bydetection in a particle filtering framework. To address the unreliability of current state-of-the-art object detectors, our a...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
13 years 10 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk