• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.209-211
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• 2012

ONVIF(Open Network Video Interface Forum)는 네트워크 카메라의 제어 및 관리에 대한 표준으로 이 표준은 각각 회사마다 다른 네트워크 카메라의 프로토콜을 표준화 함으로써 호환성 문제를 해결한다. 그리고 ONVIF는 표준에 따라서 만들어진 장치들에 대해서 인증을 수행할 수도 있다. 따라서 본 논문에서는 ONVIF 표준을 구현하기 위해 필요한 요소들을 알아보고 gSOAP 라이브러리를 통하여 장치 관리 서비스를 설계하고 구현해 본다. 그리고 장치 관리 서비스에서 중요도가 높고 꼭 필요한 요소를 구현하여 테스트 툴로 검증함으로써 ONVIF에서 인증이 가능함을 보인다.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.102-105
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• 2012

ONVIF is becoming a de factor standard specification for supporting interoperability among network video products, which also supports a specification for video analytics service. A smart IP network camera is an IP network supporting video analytics. In this paper, we present our efforts in integrating ONVIF Video Analytics Service into our currently developing smart IP network camera(SS IPNC; Soongsil Smart IP Network Camera). SSIPNC supports object detection, tracking, classification, and event detection with proprietary configuration protocol and meta data formats. SSIPNC is based on TI' IPNC ONVIF implementation which supports ONVI Core specification, and several ONVIF services such as device service, imaging service and media service, but not video analytics service.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.691-700
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• 2021

The IP cameras have rapidly replaced the analog CCTVs as the cameras have the advantages of not only being able to remotely monitor, but also supplying power through the UTP cable, In this paper, we introduce the protocol architecture of the ONVIF standard which is widely applied to the IP camera and other Internet protocols to support it, and implement the ONVIF Device on a commercial board. Although these functions can be controlled by the Client (PC), several functions such as privacy masks, temperature display of the thermal camera, and ROI (Region of Interest) are implemented through a web viewer on the device. Through the experiment, the functions of ONVIF Profile S and web viewer are verified through SOAP messages exchanged between Device (IP camera) and Client program and streamed images.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.381-383
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• 2016

본 논문에서는 영상보안시스템을 구성하는 장비 간의 상호연동 적합성을 평가하는 방법과 분석 결과를 제시한다. 꾸준한 성장세를 보이고 있는 영상보안시스템 분야는 기존의 아날로그 CCTV(Closed Circuit TeleVision) 체계 대신 네트워크 인터페이스 기반의 시스템으로 변화하고 있다. 이에 따라 IP(Internet Protocol) 기반의 네트워크 환경에서 장비 간 연동을 위해 국제적으로 ONVIF(Open Network Video Interface Forum), PSIA(Physical Security Interoperability Alliance)와 같이 여러 CCTV 제조사들이 모인 산업계 포럼에서 장비 간 상호호환성을 위해 인터페이스 프로토콜을 정의하고 자체 표준화를 주도하고 있다. 이에 본 논문은 TTA에서 국내 영상보안시스템의 상호운용성을 위해 개발한 ONVIF 기반의 상호연동 인증 기준을 기반으로 영상보안시스템 장비 중 하나인 IP 카메라와 NVR(Network Video Recorder)에 대해 상호연동 적합성을 평가하는 방법을 설명하고 분석 결과를 제시한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.4
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• pp.228-233
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• 2014

In recent general social surveillance systems, secure access control mechanism is needed. ONVIF establishes standards for interoperability between cameras and defines web service framework for it. In this paper we present an efficient attribute based access control mechanism for surveillance system networks which follow the ONVIF standards. It accommodates web service information security techniques and provides efficient secure access control.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.1102-1106
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• 2015

To provide social security and for cooperative smart camera context awareness processing, each camera stores and exchange context data. For a specific event, measured values with other context data is stored RDB. RDB is transformed to ontology RDF file and is used for context reasoning. Interoperability between smart cameras conforms to ONVIF and constitutes intelligent surveillance system. To guarantee the confidentiality and integrity, securiy techniques are adopted. Security overhead between agents is analyzed in the prototype system implemented.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.116-125
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• 2019

The fire should extinguish as soon as possible because it causes economic loss and loses precious life. In this study, we propose a new atypical fire and smoke detection algorithm using deep learning and color histogram of fire and smoke. First, input frame images obtain from the ONVIF surveillance camera mounted in factory search motion candidate frame by motion detection algorithm and mean square error (MSE). Second deep learning (Faster R-CNN) is used to extract the fire and smoke candidate area of motion frame. Third, we apply a novel algorithm to detect the fire and smoke using color histogram algorithm with local area motion, similarity, and MSE. In this study, we developed a novel fire and smoke detection algorithm applied the local motion and color histogram method. Experimental results show that the surveillance camera with the proposed algorithm showed good fire and smoke detection results with very few false positives.