Study On Visual Recognition System With Fovea Lens

The imagery processing technology was born in the 1960s, it was widely used in each domain of social life now. In recent years, the development trends of this technology is the research of time-varying image processing. The so-called time-varying image processing is a technology aims on capturing the moving object whose position is changing along with time variation and identify the shape and trends of the moving object in real time. Recently, the research to apply time-varying imagery processing technology in robot vision and safe guard field is in the ascendant.The foveal lens visual recognition system is a tipical application of time-varying imagery processing technology in safe guard field. Foveal lens visual recognition system has a ken about 120 degree, and can be divided into peripheral regards which is in low resolution but have a wide visual angle, and the center regards which is in high resolution but the visual angle is much smaller. The principle of this system is dynamic visual, it use peripheral regards to detect moving object and move the visual line of camera, using center regards capture the detected moving object and recognise it's shape and trends.This is an imitation of human eye's visual function. Human eye can select and accept the information actively. Usualy the movements of visual line perform as saccade which is quick and controll both eyes to do simultaneous movements in the same direction, it's a jump-style scan that suit to see some irregular drifts and movements. Only when pursuing the moving object in field of vision the smooth pursuit movement will occur, and it's a continuous movement. The movements of visual line will switch between these two functions when necessary. Thus , this dynamic visual could keep a large ken and select necessary image information at the same time so that it could put down amount of information and make rapid visual recognition possible.The research in this article aims at using foveal lens visual recognition system in safe guard domain. As an accessorial device of safe guard, we hope the surveillance cameras should possess the characteristics as follows: (1st) it may capture the image of criminal exhaustively. (2nd) to have a large ken and an excellent performance in pursuiting, and it's better to be able to recognise the criminal behavior and take a high resolution photo of the criminal as evidence. (3rd) easy to be managed and conductive to improving the working efficiency. In order to make the foveal lens visual recognition system to be an intelligent surveillance system like that, we do the research work as follow:1st, For the Fovea lens Recongnization System is designed to be able to lock in the intruder and pursue it real-time, velocity parameter of the intruder is needed. So we addopt Optical Flow Methord which can detect the moving field of a moving object in the research. The theory of Optical Flow Methord evaluate detailed in this paper, for considering the reliability of optical flow in using, we solve this problem as a hypothesis in Statistical Theory. 2nd, We use pattern recognition method to carry on the criminality recognition: Pattern recognition is the act of taking in raw data and taking an action based on the category of the data. Pattern recognition aims to classify data based either on a priori-knowledge or on statistical information extracted from the patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space.This research regards walking and standing as the normal behavior and gesture, adopting pattern recognition method based on statistic, we design a linear classifier by using one-class support vector machine. Some violence movement and abnormal behaviour which can obtain in daily life are used as the learning pattern, such as strokes, kicks tramples, picks up or throws down the thing and so on.3rd ,We use shape characteristic of human as behavior recognition feature quantity. For the magnification of foveal lens is special, the mesh feature and edge feature which used in the research before don't fit for fovea lens.So we suggest using incidence angle as parameter to characterize human shape. Experiment prove that the recognition accuracy is fairly high by using incidence angle parameter as behavior recognition feature quantity. And we can see that Fovea Lens Recognition System can be used dependable in Safe Guard area by analyzing specific data obtained in the experiment.