This paper will attempt to analyze and compare a number of different existing

approaches to human detection in video. Even though there have already been

a number a papers written on the topics of skin and face detection this paper

will go beyond these analyze, culminating in an open source package aimed at

anyone working with image processing and object recognition. I will provide a

comprehensive up to date open source package containing implementations of the

algorithms based on the most recent research concerning human presence detection.

The package will include libraries for skin, face, eyes detection which together can

be used for detecting human presence in video. The system is build so that it can

applied to both real-time data although with lower detection rate and static data

(images, video) for oine processing with higher detection rate.