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Please use this identifier to cite or link to this item: http://hdl.handle.net/2031/6680

Title: SmartSur: Smart Video SURveillance System
Authors: Li, Yiwei (李憶偉)
Department: Department of Electronic Engineering
Issue Date: 2012
Supervisor: Supervisor: Dr. Po, Lai Man; Assessor: Dr. Pao, Derek
Subjects: Video surveillance.
Notes: Nominated as OAPS (Outstanding Academic Papers by Students) paper by Department in 2012-13.
Citation: Li, Y. W. (2012). SmartSur: Smart video surveillance system (Outstanding Academic Papers by Students (OAPS)). Retrieved from City University of Hong Kong, CityU Institutional Repository.
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.
Appears in Collections:Electronic Engineering - Undergraduate Final Year Projects
OAPS - Dept. of Electronic Engineering

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