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» Occlusion Modeling by Tracking Multiple Objects
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ICCV
1995
IEEE
15 years 1 months ago
Alignment by Maximization of Mutual Information
A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require information about the surface properties of the ob...
Paul A. Viola, William M. Wells III
SSIAI
2000
IEEE
15 years 2 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
IJCV
2007
178views more  IJCV 2007»
14 years 9 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
In this article we present the integration of 3-D shape knowledge into a variational model for level set based image segmentation and contour based 3-D pose tracking. Given the sur...
Bodo Rosenhahn, Thomas Brox, Joachim Weickert
ICIP
2008
IEEE
15 years 4 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
ECCV
2008
Springer
15 years 11 months ago
Structuring Visual Words in 3D for Arbitrary-View Object Localization
Abstract. We propose a novel and efficient method for generic arbitraryview object class detection and localization. In contrast to existing singleview and multi-view methods using...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...