人脸检测的外文翻译--基于pac的实时人脸检测和跟踪方法(编辑修改稿)

人脸检测的外文翻译--基于pac的实时人脸检测和跟踪方法(编辑修改稿)内容摘要：

re a pixel of the primitive picture were changed into the chromatic color space, then distributing with the skin color39。 s model the parison. action examination Although the skin color application in characteristic grows very extensive, when the skin color appear at the same time in the background district with the person39。 s skin district, skin color is not suitable for in the person an use of to act information can away with this weakness the sake of the precision, after the skin color divides into section, consider the skin color district of the containment action , the action information of the bination skin color model leads a binary system for a containment scene( person39。 s a district) with background( not person39。 s a district) binary system picture definition is, among them It( x, y) With the It1( x, y) respectively is a bright degree for with front an inside pixel( x, y).The St is a current an inside skin color pixel to gather, the t is a worth [ in limit in to makes use of appropriate limit technique pute 9 ] .The acceleration that be used as a process handles, we make use of the operation( morpholoical operations) that appearance learn( top) with link the position analyzes, simplifying the picture Mt. make use of the PCA examine person39。 s face There is many ambulatory objects, so follow in sequence the facial and main part in person is very addition, return the demand examine this ambulatory object is person39。 s face or not person39。 s uses characteristic space inside the weight vector of the candidate for election district to behave face examination problem reducing that characteristic the spatial a candidate for, we N a picture casts shadow the characteristic space of the lower the degree of , we call it as characteristic space or persons a space [ 7,8 ] .In characteristic space, each characteristic explained the different variety in inside in a picture in person. Say this characteristic space for the sake of Chien, suppose a picture gather the I1, I2, I3, „ , IM, among them each picture is the row vector of a N , and with this posing person a average value that this training( test) gather uses the A= the i= the I I － A putes the zero average number of each , and with this posing a new puting the M keep handing over vector, among them that vector is to uses to e to describe the person best a picture ground distribute, first, the usage C= i ir= YYr(4) pute to help the square and bad matrix Y the =[1 2 „ Ms].Although matrix C is characteristic vector that N N of, define a N is a difficult processed problem with the N a characteristic , for the sake of calculating possibility, with its finds out the characteristic vector for the C, not equal to we pute the [ YTY] the inside M a characteristic vector vk with the worth k in characteristic, so use the u k the = pute a basic gather, among them k=1, „ , for this M a characteristic vector, make selection an important characteristic vector regard as their homologous and biggest characteristic ( test) the person a picture to the of M, characteristic vector W i the =[ w 1, w 2, „ , w M39。 ] uses the = u kT i, k= of w k 1, „ , the M(6) putes. For the sake of the person of the examination candidate for election whether a district is a real person or not a picture, also will make use of the formula(6) cast shadow the training( test) characteristic space inside to this candidate a that cast shadow the district is a minimum distance to makes use of a person39。 s face with not person39。 s face examination district inside, passing the formula(7) e to something to (|| Wkcandidate － Wface||,|| Wkcandidate － Wnonface||),(7) among them the Wkcandidate is to trains( test) the characteristic space inside to the k a candidate a district, and Wface, Wnonface respectively is training( test) characteristic space middleman face with not person39。 s face center sit the mark, but|| || mean the characteristic in the space several in virtuous distance( Euclidean) 39。 s face follows In latest person an examination, pass to use a distance generous character standard to define the picture preface row in characteristic space inside a picture inside drive on the trail of person39。 s following a person39。 s face, locate to is followed a person39。 s face the characteristic vector is recent to is examined with the of K of person the of the an is several in the virtuous distance is to uses the obj= argkmin|| Wold － Wk||, k=1, „ , K,(8) pute of. After defining the person a district, locate to is examined person the center of a district with distance that hold the act center uses the distt( face, screen)= Facet( x, y) － Screen( height/2, width/2),(9) pute, among them Facet( x, y) The that time a t inside were examined the person the center of a district, the Screen( height/2, width/2) is a center to hold the act this distance vector, can control the resemble to position in the machine with equilibrium/ tilt to one side of continuously resembles the machine controller is what under such way work:Pass to control the activity resemble the machine even with/ tilt to one side the terrace examines drive of person a district keeps at hold the act the table 2 oneself article mother parameter mean is a control that activity resemble the with the false code equilibrium/ tilts to one side to handle continuously time resemble the fixed position of the machine with . The calculation is even with/ tilt to one side keep on time with the false code that position: Procedure Duration（ x， y） Begin Sigd=None； Distance= 22 yx  ； IF distance close then Sigd=Close； ELSEIF distance far then Sigd=fat； Return（ Sigd）； End Duration； Procedure Orientation（ x， y） Begin Sigo=None； IF x x then Add “RIGHT” to Sigo； ELSEIF x x then Add “LEFT” to Sigo； IF y y then。