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» A Computational Framework for Handling Motion
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ICIP
2010
IEEE
13 years 5 months ago
Occlusion handling based on support and decision
This paper proposes a novel method for handling occluded pixels in stereo images based on a probabilistic voting framework that utilizes a novel support-and-decision process. Occl...
Dong Bo Min, Sehoon Yea, Anthony Vetro
ROBOCUP
2007
Springer
140views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Tailored Real-Time Simulation for Teams of Humanoid Robots
Abstract. Developing and testing the key modules of autonomous humanoid soccer robots (e.g., for vision, localization, and behavior control) in software-in-the-loop (SIL) experimen...
Martin Friedmann, Karen Petersen, Oskar von Stryk
WACV
2005
IEEE
14 years 1 months ago
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
Scene flow methods estimate the three-dimensional motion field for points in the world, using multi-camera video data. Such methods combine multi-view reconstruction with motion...
Rui Li, Stan Sclaroff
MOBIDE
2010
ACM
13 years 8 months ago
Using data mining to handle missing data in multi-hop sensor network applications
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rah...
ECCV
2008
Springer
13 years 9 months ago
Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
Charles Bibby, Ian D. Reid