Moving Object Recognition And Opto-Electronic Tracking Location Technology

Automatic object recognition and tracking in image is the key technology of the preciselyguided weapons, which need to be solved urgently in the world, is the current tech area emerging research branch, it is also an active field in computer vision. Especially in some situation, for example the human is unable to participate in or in the work load too big situation, the research intellectualization does not need the human to participation or needs the few interactive systems is the inevitable trend.In this paper deep research image processing domain high accuracy corner detection, camera calibration for stereo vision, object recognition tracking algorithm, location and so on stereoscopic vision system development each kind of key technologies, has carried on the discussion thoroughly from the theory and the practice. Proposed and has constructed a complete photoelectric object tracking location stereoscopic vision system plan. Each chapter of actual content arrangement is as follows:Image characteristic point extraction is required to achieve camera calibration, extraction quality immediate influence following calibration precision, and carries on the stereo vision and the three dimensional reconstruction foundation smoothly. This paper uses sub-pixel corner detection method based on Harris corner detection principle, using iterative method and the corner property that any vector from the true corner to a pixel point in the comer neighborhood is always orthogonal to the gradient vector of the image at the point we obtained corners subpixel coordinates whose precision precedes 0.01 pixel. This solves the problem how to achieve the control points coordinates with subpixel accuracy on camera calibration.In view of camera calibration process in complex imaging and distortion model, proposed based on LS-SVM camera calibration method. Least Squares Support Vector Machines are used to learn the relationships between the image information and the 3D information. It neither requires an accurate mathematical model nor needs any prior knowledge about the parameters. Only needs to know the image coordinate of partial known points(known world coordinate points). In binocular vision, the relationship between the location of the two cameras obtained without specific, but implicit in the map relations. The nuclear function parameter and penalty parameter is a pivotal factor which decides performance of LS-SVM, Uses the AGA algorithm automatic selection to determine the LS-SVM parameter, Has established the camera calibration model based on AGA-LS-SVM. Simulation results showed the validity to improving the calibration ccuracy.Uses the Haar characteristic to take the object identification the characteristic parameter, in the solution automatic object recognition and the track exists real time, accurate difficult problem. Using AdaBoost learning algorithm training classifier, apply the Haar characteristic carries on object identification, the experiment result show that the method has the good real-time performance and the high correct detection rate.Integrates the Kalman filter forecast technique to the Mean Shift tracking algorithm, using Kalman filter prediction objective position, has solved in effectively the background the big area color disturbance question, improves the tracking method anti-interference ability and speed. And describes the object size change by the affine transformation, matches the window using continuous two frame in the maximum correlation coefficient determination the optimal matching window search object. When the object is occlusion, using the object previous track forecast moving tendency with the LS-SVM, when the object is covered reappears could find object anew, carries on the tracking. The tracking experiment indicated that the algorithm in the occlusion, the background and the object color are close and the size change and so on the complex situation can carry on the accurate tracking to the object, has the good real time performance and anti-interference ability.Established the automatic object recognition tracking and location system. Has carried on a series of automatic object recognition tracking and location experiment. The experiment results shows that this papaer established the automatic object recognition tracking and location system has the good real time nature and location ability.