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23 June 1997 Visual surveillance system for detection of moving objects by scene modelization in uncontrolled robotic environments
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmad Abdallah "Visual surveillance system for detection of moving objects by scene modelization in uncontrolled robotic environments", Proc. SPIE 3086, Acquisition, Tracking, and Pointing XI, (23 June 1997); https://doi.org/10.1117/12.277205
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