Tudy On Human Recognition Technology Based On Moment Invariants

In view of misstatements and omissions of the current video monitoring because ofhuman factor and passive linkage for alarm system, earnestly needs to develop the intelligentvideo monitoring systems which can real-time unmanned monitoring for24consecutive hours.This system can distinguish the moving target is a humanoid or not. When someone invades aplace which does not allow people to invade, the system can real-time give an alarm deterringcrime, and warn to the security personnel accurately and timely.This article has researched human recognition technology based on moment invariants.The process of human recognition include video frame image extraction, image pretreatment,moving target moment invariants extraction and classification. Video frame image extractionbased on sampling method, catching a frame image as a key frame from each of the9frames.Image pretreatment have four steps. First, remove the background of the key frames using thebackground difference. Second, catch moving target image using Otsu method. Third,eliminate noise by median filter. Fourth, contour extraction using Roberts operators. Then, getHu moment invariants and Zernike moment invariants of moving target. Finally, classify themoment invariants using the minimum distance classifier and the Bayes classifier based onParzen windows, and judge moving target whether is human.This paper established a library which contains201personal form samples,67animalsamples, and texting. Proved by experiment, the human recognition method based on momentinvariants is reliable and effective. The recognition rate can achieve above85%.