SmartSur: Smart Video SURveillance System

Abstract

In this report, I present the SmartSur system, which is a smart video surveillance system that is capable of detecting a pair-wise event called peope-meet. SmartSur mainly consist of three stages: pre-processing, human detection and event detection. The pre-processing can be decomposed into four major stages: background subtraction, noise elimination and hole filling, contour recognition and object labelling. All these four stages together help to find the moving foreground objects from the raw input video frame. Human detection focuses on finding human from the detected foreground objects which involves 3 major stages, namely HOG feature extraction, SVM training and SVM testing. In the event detection part of the system, a manually defined event called people-meet will be detected based on the position of the detected human. The system is developed on C++ platform using OpenCV as the core library. Besides, the implemented system is tested by the AVSS surveillance video database with a well-recognized result.