Intelligent active vision system for autonomous robots

In this paper, an active vision system is developed which is based on image strategy. The image based control structure uses the optical flow algorithm for motion detection of an object in a visual scene. Because the optical flow is very sensitive to changes in illumination or to the quality of the...

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Bibliographic Details
Main Authors: Moldoveanu, F, Boldisor, C, Floroian, D, Suliman, C, Suciu, C
Format: Conference Proceeding
Language:English
Subjects:
Filtering
Fuzzy control
Image motion analysis
Intelligent robots
Intelligent systems
Machine vision
Optical filters
Optical noise
Optical sensors
Robot vision systems
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Summary:In this paper, an active vision system is developed which is based on image strategy. The image based control structure uses the optical flow algorithm for motion detection of an object in a visual scene. Because the optical flow is very sensitive to changes in illumination or to the quality of the video, it was necessary to use median filtering and erosion and dilatation morphological operations for the decrease of erroneous blobs residing in individual frames. Since the image coordinates of the object are subjected to noise, the Kalman filtering technique is adopted for robust estimation. A fuzzy controller based on the fuzzy condensed algorithm allows real time work for each captured frame. Finally, the proposed active vision system has been simulated in the development/simulation environment Matlab/Simulink.
ISSN:1842-0133
DOI:10.1109/OPTIM.2010.5510500