Learning static occlusions from interactions with moving figures

Bennett Jackson, Robert Bodor, Nikolaos P Papanikolopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

We present a simple and efficient algorithm for determining the position of static occluding bodies within a scene viewed by one or more static cameras. All information about the occluding bodies is derived from the perimeter of a figure moving through the scene. Once the positions of the occlusions are learned, successful reasoning about the observability of future figures in the scene is demonstrated. The method is extended to derive an estimate of the 3D position of the occluding bodies from multiple views. Several experimental results are described.

Original languageEnglish (US)
Title of host publication2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages963-968
Number of pages6
StatePublished - 2004
Event2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Sendai, Japan
Duration: Sep 28 2004Oct 2 2004

Publication series

Name2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Volume1

Other

Other2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Country/TerritoryJapan
CitySendai
Period9/28/0410/2/04

Fingerprint

Dive into the research topics of 'Learning static occlusions from interactions with moving figures'. Together they form a unique fingerprint.

Cite this