COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION
Mrs.Khushali Sheth, Asst.Prof.Chita Jani · International journal of advance research and innovative ideas in education · 2016
Person detection in a video surveillance system is major concern in real world. several application likes congestion analysis, abnormal event detection, human gait characterization, fall detection, person identification, gender classification and for elderly people. In this algorithm ,We use GMM method for multi object detection because of Gaussian Mixture Model (GMM) model is one such popular method compare to another methods like non-parametric model, optical flow, spatio-temporal etc are not compatible to detect the object due to its quality & limited computational time.GMM are used for detection of moving object. Foreground reconstructed using SVM(support vector machine).SVM are used for detect both moving and non moving object. Keyword : - Background subtraction, GMM ,moving and non moving object detection, SVM..