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ICCV
2009
IEEE
16 years 11 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
CVPR
1999
IEEE
16 years 8 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
CVPR
2006
IEEE
16 years 8 months ago
Using Bilinear Models for View-invariant Action and Identity Recognition
Human identification from gait is a challenging task in realistic surveillance scenarios in which people walking along arbitrary directions are shot by a single camera. In this pa...
Fabio Cuzzolin
CVPR
2007
IEEE
16 years 8 months ago
Estimating Scale of a Scene from a Single Image Based on Defocus Blur and Scene Geometry
Using an imaging system in which the image plane can be tilted with respect to the optical axis of the lens, the image of a large-scale scene that appears to be a miniature to hum...
Takayuki Okatani, Koichiro Deguchi
ECCV
2008
Springer
16 years 8 months ago
Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects
Abstract. The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a hu...
Danica Kragic, David Martínez Mercado, Hedv...