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ICIP
2008
IEEE
15 years 11 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
COMSWARE
2006
IEEE
15 years 11 months ago
Spread-based heuristic for sensor selection in sensor networks
In this paper we propose a method for selecting an appropriate subset of sensors with a view to minimize estimation error while tracking a target with sensors spread across in a 2...
Vaishali P. Sadaphal, Bijendra N. Jain
CORR
2002
Springer
118views Education» more  CORR 2002»
15 years 4 months ago
Language Modeling for Multi-Domain Speech-Driven Text Retrieval
We report experimental results associated with speech-driven text retrieval, which facilitates retrieving information in multiple domains with spoken queries. Since users speak co...
Katunobu Itou, Atsushi Fujii, Tetsuya Ishikawa
CVPR
2008
IEEE
15 years 11 months ago
Global data association for multi-object tracking using network flows
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Li Zhang, Yuan Li, Ramakant Nevatia
TITS
2010
189views Education» more  TITS 2010»
14 years 11 months ago
Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness
Driver distraction and inattention are prominent causes of automotive collisions. To enable driver-assistance systems to address these problems, we require new sensing approaches t...
Erik Murphy-Chutorian, Mohan M. Trivedi