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Abstract
Intelligent surveillance system (ISS) has received growing attention due to the increasing demand on security and safety. ISS is able to automatically analyze image, video, audio or other type of surveillance data without or with limited human intervention. The recent developments in sensor devices, computer vision, and machine learning have an important role in enabling such intelligent system. This paper aims to provide general overview of intelligent surveillance system and discuss some possible sensor modalities and their fusion scenarios such as visible camera (CCTV), infrared camera, thermal camera and radar. This paper also discusses main processing steps in ISS: background-foreground segmentation, object detection and classification, tracking, and behavioral analysis.
Highlights
Massive amount of security cameras, along with other sensors, have been deployed to monitor critical infrastructure such as: military bases, airport, power plant, banking, campuses, etc
It has long been in use to monitor environments, people, events and activities
The main objective of this paper is to provide general overview of intelligent surveillance system and review the existing methods for each its processing steps
Summary
Massive amount of security cameras, along with other sensors, have been deployed to monitor critical infrastructure such as: military bases, airport, power plant, banking, campuses, etc. Extensive studies have been conducted to automatically analyze data (image or video) from surveillance camera Much of these studies have been discussed in several focu s ed review papers: background-foreground segmentation [2,3,4,5,6,7], objects detection and classification [8,9,10], tracking [11,12,13,14], and behavioral analysis [15,16,17]. It contains several main components: camera network (existing CCTV), intelligent camera system, transmission system, audio surveillance, operator, and the main server (MIFSA). - Performance: such as the systemaccuracy - Robustness: the systemshould be robust again real wo r d issues such as illumination variation, clutter, occlusion, weather change, camouflage, etc. - Reliability - Real time constrain: the system should fast enough - Cost effective
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