Humans use their eyes and their brains to see and visually sense the three-dimensional structure of the world around them. Computer Vision is the science that aims to give a similar, if not better, an ability to a machine or computer.

Computer Vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. It involves the development of a theoretical and algorithmic basis to achieve visual understanding.

The term "surveillance" is derived from the French word meaning "to watch over" and, as applied to public health, means the close monitoring of the occurrence of selected health conditions in the population. In 1963, disease surveillance was defined as "the continued watchfulness over the distribution and trends of incidence through systematic collection, consolidation, and evaluation of morbidity.

The mortality reports and other relevant data" directly linked to timely regular dissemination of the results to "those who need to know" . The word surveillance means to observe a specific area or to monitor the activities or behavior of individual or a group.

It is very useful to the government to maintain social control, monitor and recognize threats, and investigate criminal activity. Digital and intelligent video surveillance has been one of the most active research areas in the field of computer vision.

The goal is to efficiently extract useful information from a huge amount of videos collected by surveillance cameras by automatically detecting, tracking and recognizing objects of interest, and understanding and analyzing their activities. Surveillance cameras or video cameras normally used for the reason of recording or monitoring sensitive or strategic areas of a particular business.

They are often connected to a recording device, and may be watching by a security guard or law enforcement officer. A surveillance camera can be placed in strategic locations throughout private or public areas.

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