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ICPR
2008
IEEE
15 years 4 months ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
PAMI
2010
249views more  PAMI 2010»
14 years 8 months ago
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
—In this work we propose a dynamic-texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models (i.e., sequences of te...
Sander Koelstra, Maja Pantic, Ioannis Patras
IROS
2008
IEEE
148views Robotics» more  IROS 2008»
15 years 4 months ago
Identifying a moving object with an accelerometer in a camera view
— This paper proposes a method for identifying an object which contains an accelerometer out of many moving objects in the view of a stationary camera using motion data obtained ...
Osamu Shigeta, Shingo Kagami, Koichi Hashimoto
ECCV
2002
Springer
15 years 11 months ago
Recognizing and Tracking Human Action
Human activity can be described as a sequence of 3D body postures. The traditional approach to recognition and 3D reconstruction of human activity has been to track motion in 3D, m...
Josephine Sullivan, Stefan Carlsson
CVPR
2007
IEEE
15 years 11 months ago
Multi-class object tracking algorithm that handles fragmentation and grouping
We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several ...
Biswajit Bose, Xiaogang Wang, Eric Grimson