Implementasi MPRL dan Hough Thransform Untuk Segmentasi dan Ekstraksi Fitur Pada Citra Gaya Berjalan

Abstract

Human gait is unique. It has different characteristics gm have a high ability to distinguish a person. "Gait" .1:sis, mapping human body points is todays advanced priznology. Stages of "gait" processing start from zrtentation, extraction until recognition. This paper Jia.—asses the segmentation and extraction of gait features. "cm-ring methods with Most Prominent Ridge Line ieRL) algorithms to form the skeleton bones of human miorgs is used The resulting skeleton image is used for *tures gait extraction through annular analysis. Method feature extraction used is Hough transformation. The -rxilting features are grouped according to distance and angle. This grouping determines the location of features .71 an image skeleton. The next process is to calculate the .stance between feature and angle formed There are ten ,ieztures obtained Four features of a group spacing .stance of the front foot until the heel of the hind legs, ^ards up to the front axle center of the chest, arms rear _ale until the middle of the chest and arms front to the sack of the hand. Six other features are the result of measurement angle of the front knee, ankle front, rear ankle, knee hind legs, forearms and elbows behind the elbow sleeves.