Sterile zone monitoring with human verification

This paper proposes efficient real time method for sterile zone monitoring with human verification. The propose method consists of two main parts: Motion detection module and human verification module. The role of motion detection module is to segment out foreground object from background. Probabilistic Foreground Detector based on Gaussian Mixture Model(GMM) is used. Region of interest (ROI) obtained from motion detection module is fed into SVM classifier. SVM classifier is trained using HOG descriptor. The proposed method is tested on the standard datasets gives promising results.