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Proceedings Paper

Visual surveillance system for detection of moving objects by scene modelization in uncontrolled robotic environments
Author(s): Ahmad Abdallah
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Paper Abstract

There is a growing demand for an automatic surveillance system for road traffic data and industrial workroom environments. These data are required for surveillance and control. The problem of diagnostic intruders in a dangerous areas, knocks generally to the illumination changes. From the beginning of this work, it was stated that, the device had to supervise a robotic environment, in real time, in order to detect the abnormal situations. This paper describes implementation of a fast algorithm of surveillance system that performs tracking of robot's manipulator arm and detection of moving objects. The aim of this work is to avoid collision between human and moving machines. This paper presents a new approach of surveillance allowing unpredictable robotics tasks and tolerant independent illumination changes. We present in our paper an original method to modelize the scene by an image spatial sampling and an algorithm to detect moving objects. The detection is based on the observation of changes between a reference and the current images.

Paper Details

Date Published: 23 June 1997
PDF: 9 pages
Proc. SPIE 3086, Acquisition, Tracking, and Pointing XI, (23 June 1997); doi: 10.1117/12.277205
Show Author Affiliations
Ahmad Abdallah, Ecole des Mines (France) and Univ. de Technologie de Compiegne (France)


Published in SPIE Proceedings Vol. 3086:
Acquisition, Tracking, and Pointing XI
Michael K. Masten; Larry A. Stockum, Editor(s)

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