Machine Vision Application to Automatic Intruder Detection Using CCTV
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Machine vision application to the detection of water-borne micro-organisms
Intelligent Decision Technologies
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The work presented in this paper addresses Machine Vision (MV) applications to objects of ill defined shape, size, colour or texture. Development of Machine Vision through the years from its origin in the 1950's to date is analysed and their progress and trends are discussed. The paper concentrate in the small number of MV applications to object of high variability, it discusses and present solutions to main problems associated with the MV application to this type of objects. The problem of autofocus and problems associated with changes in illumination are discussed in details and solutions presented. The paper present and discuss general software architecture for MV applications. Two examples of this type of applications are presented: detection of microorganism in water and detection of suspicious activity in humans.