OBJECT THEFT DETECTION SYSTEM

Often, in our daily life, we sometimes do not notice our belongings which we put it on
the table or on the walls .are taken or stolen by somebody. Jn a picture gallery for
example, video surveillance are very essential to monitor the arts and pictures which are
exposed for viewing to the public. However, human operators often lose his focuses if
he needs to monitor the videos, which may probably range from one to more than one,
in a long hour. Therefore, when a ste_eling scenes occ.urs,they may not be alerted in an
instance. Thus, a semiautomatic tools or system to alert the human operator when this
type of event occurs may become a helpful method to assistthe human operators in
performing their job efficiently and effectively. By using object recognition techniques
together with video image processing tools available in MATL;\B®, this paper
discussed the implementation of the available methods to come oljr with Ill'\ Object T!u;ft
Detection System which can detect stolen object in real-time environment. and issue an
alarm when emergency occurs,
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