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» Novel Observation Model for Probabilistic Object Tracking
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IJCAI
2003
15 years 1 months ago
People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters
Estimating the location of people using a network of sensors placed throughout an environment is a fundamental challenge in smart environments and ubiquitous computing. Id-sensors...
Dirk Schulz, Dieter Fox, Jeffrey Hightower
NIPS
2004
15 years 1 months ago
Adaptive Discriminative Generative Model and Its Applications
This paper presents an adaptive discriminative generative model that generalizes the conventional Fisher Linear Discriminant algorithm and renders a proper probabilistic interpret...
Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hs...
ECCV
2008
Springer
16 years 1 months ago
Robust Visual Tracking Based on an Effective Appearance Model
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang
ALGOSENSORS
2007
Springer
15 years 3 months ago
Efficient Sensor Network Design for Continuous Monitoring of Moving Objects
We study the problem of localizing and tracking multiple moving targets in wireless sensor networks, from a network design perspective i.e. towards estimating the least possible n...
Sotiris E. Nikoletseas, Paul G. Spirakis
CVPR
2010
IEEE
15 years 5 months ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...