Human Position Tracking and Detection Using Geometric Active Contours

Human position tracking and detection of human being is used as an initial step in biometric recognition. Continuous track a person will allow identifying people at any time. Its system consists of two parts person detection and another one is tracking. Active contours are a catch-all name for methods that found the curve that best separates objects in an image. This is known as segmentation. Segmentation is extraordinarily related to tracking. In 3D - it discusses about active surfaces. One way to divide segmentation methods - single object vs. multiple objects. Another way to divide segmentation methods: Edge-based - the object to be segmented should accept its boundary visible in the image, as some sort of outstanding edge. Region-based - the region of the object in the image should have a different actuarial in some sort of feature space, estimate to its surroundings. These functional are integrating with information on the shape of the area being extracted.