Motion Detection and Extraction of Human Body Using Hybrid Technique

In recent time digital image processing and its importance have increased significantly, subject to the development of automation systems. Digital image processing and related research areas have been paved for the invention of high end applications in pharmaceutical, robotics, satellite image processing, genetics etc. Many applications have been found in daily applications around human beings in image processing. Therefore, in real time images and video sequences are essential for locating human bodies and have been entered. In this paper, a bottom-up methodology is proposed for automatic detection and extraction of human bodies from single images. Work of this paper is Design and development of a hybrid algorithm for detection and extraction of human bodies from different images and currencies. Use of Artificial Intelligence and Automatic Learning with the combination of image processing techniques to detect and split different human currencies and movements on the basis of structure. The use of vision processing has also been proposed to allow the application of the system in real-time video received from various sources, such as CCTV, Motion Capture Camera etc. The purpose of the proposed system is to be much faster than the existing algorithm, and therefore the task of reducing the complexity of the location and time of the existing algorithms.