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AVSS
2006
IEEE
15 years 1 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
EUROCRYPT
2000
Springer
15 years 1 months ago
Noisy Polynomial Interpolation and Noisy Chinese Remaindering
Abstract. The noisy polynomial interpolation problem is a new intractability assumption introduced last year in oblivious polynomial evaluation. It also appeared independently in p...
Daniel Bleichenbacher, Phong Q. Nguyen
ECCV
2010
Springer
14 years 11 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang
MM
2010
ACM
127views Multimedia» more  MM 2010»
14 years 10 months ago
Mining and cropping common objects from images
Discovering common objects that appear frequently in a number of images is a challenging problem, due to (1) the appearance variations of the same common object and (2) the enormo...
Gangqiang Zhao, Junsong Yuan
TITS
2008
158views more  TITS 2008»
14 years 10 months ago
Real-Time Incremental Segmentation and Tracking of Vehicles at Low Camera Angles Using Stable Features
We present a method for segmenting and tracking vehicles on highways using a camera that is relatively low to the ground. At such low angles, 3-D perspective effects cause signific...
Neeraj K. Kanhere, Stanley T. Birchfield