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» Novel Observation Model for Probabilistic Object Tracking
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PAMI
2011
12 years 10 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
CVPR
2007
IEEE
14 years 9 months ago
A Topic-Motion Model for Unsupervised Video Object Discovery
The bag-of-words representation has attracted a lot of attention recently in the field of object recognition. Based on the bag-of-words representation, topic models such as Probab...
David Liu, Tsuhan Chen
ECCV
2008
Springer
13 years 9 months ago
Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
Charles Bibby, Ian D. Reid
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
13 years 5 months ago
General object tracking with a component-based target descriptor
In this paper, we present a component-based visual object tracker for mobile platforms. The core of the technique is a component-based descriptor that captures the structure and ap...
Simone Frintrop
IPSN
2005
Springer
14 years 1 months ago
Lazy inference on object identities in wireless sensor networks
Tracking the identities of moving objects is an important aspect of most multi-object tracking applications. Uncertainty in sensor data, coupled with the intrinsic difficulty of ...
Jaewon Shin, Nelson Lee, Sebastian Thrun, Leonidas...