Visual surveillance system for detection of moving objects by scene modelization in uncontrolled robotic environments

Details Visual surveillance system for detection of moving objects by scene modelization in uncontrolled robotic environments Visual surveillance system for detection of moving objects by scene modelization in uncontrolled robotic environments

Jun 1997

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997spie.3086..350a&link_type=abstract

Proc. SPIE Vol. 3086, p. 350-358, Acquisition, Tracking, and Pointing XI, Michael K. Masten; Larry A. Stockum; Eds.

Computer Science

Robotics

Scientific paper

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.

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