Abandoned object position prediction based on mobile robot

Author

Im, Soung Min ; Lee, Ju Jang

Author_Institution

Robot. Program, KAIST, Daejeon

fYear

2008

Firstpage

820

Lastpage

823

Abstract

Visual surveillance with dynamic background is one of the most active research topics in computer vision. Especially, researches for abandoned detection in the public place have been caused by preventing terror and accident. Previous researches for abandoned detection have been based on a static image and used an image difference. In this paper we present an algorithm for a mobile robot and we use optical flow for detecting a static object and distances from abandoned objects. For this purpose, we find abandoned objects and predict a position of objects using a mobile robot visual system with a single camera.

Keywords

image sequences; mobile robots; object detection; robot vision; stereo image processing; surveillance; abandoned object position prediction; camera; computer vision; mobile robot; optical flow; static object detection; stereo image; visual surveillance; Accidents; Cameras; Computer vision; Image motion analysis; Mobile robots; Object detection; Optical detectors; Robot vision systems; Surveillance; Visual system; Focus of Expansion (FOE); Mobile Robot Surveillance; Optical flow; Single Camera; Stereo image;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems, 2008. ICCAS 2008. International Conference on

Conference_Location

Seoul

Print_ISBN

978-89-950038-9-3

Electronic_ISBN

978-89-93215-01-4

Type

conf

DOI

10.1109/ICCAS.2008.4694611

Filename

4694611