抽象的な

Real Time Human Detection from Video Surveillance

Laxmi Tyapi, Sowmya K S

Video surveillance is the most effective means of ensuring safety. It enables a security to monitor wide range areas. In general, surveillance is to make a unit of three different phases i.e., Object segmentation, Object classification and Object tracking. Object segmentation is a method of partitioning a image into something which is easier to analyse and more meaningful. Object tracking deals with the estimation of the trajectory of the moving object. This paper mainly deals with the object classification. Object classification is mainly used to classify human and nonhuman parts. This paper implements real time detection of human. It is implemented using Intel Atom Processor using OpenCV.