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ICCV
2007
IEEE
16 years 8 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ECCV
2008
Springer
16 years 8 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
ECCV
1998
Springer
16 years 8 months ago
Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint
Abstract. The aim of this paper is to explore intrinsic geometric methods of recovering the three dimensional motion of a moving camera from a sequence of images. Generic similarit...
Yi Ma, Jana Kosecka, Shankar Sastry
ICIP
2004
IEEE
16 years 8 months ago
A motion field reconstruction scheme for smooth boundary video object segmentation
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
Jean Gao, Ninad Thakoor, Sungyong Jung
ICIP
1999
IEEE
16 years 8 months ago
Realistic 3-D Scene Modeling from Uncalibrated Image Sequences
This contribution addresses the problem of obtaining photorealistic 3D models of a scene from images alone with a structure-from-motion approach. The 3D scene is observed from mul...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool