Technique of fuzzy tuned stochastic scanpaths for robot vision
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KünyeALLEN, M. J., DIMIROVSKI, G. M., GOUGH, N. E., MEHDI, Q. H. (2004). Technique of fuzzy tuned stochastic scanpaths for robot vision. Istanbul University Journal of Electrical and Electronics Engineering, 4 (1), pp. 1031-1043.
The real-time processing of frame sequences obtained from cameras mounted on autonomous mobile robots and vehicles is a computationally intensive task. This paper is a review of the work carried out so far in the development of a procedure using fuzzy-tuned stochastic 'scanpaths' for efficiently scanning images in a frame sequence. A concise explanation of using fuzzy-tuned stochastic scanpaths is given here followed by a summary of the experimental work that has been undertaken to date and results achieved. The results show how the technique can reliably locate objects in scene whilst examining only a fraction of the image surface, e.g. 5%. The paper concludes with a discussion on research insofar accomplished and proposes ideas for future work.