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Huan-Yu Chen, Chuen-Horng Lin, Jyun-Wei Lai and Yung-Kuan Chan
This paper proposes a multi?convolutional neural network (CNN)-based system for the detection, tracking, and recognition of the emotions of dogs in surveillance videos. This system detects dogs in each frame of a video, tracks the dogs in the video, and ...
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Zonglei Lyu and Jia Luo
Airport apron carries a lot of preparations for flight operation, and the advancement of its various tasks is of great significance to the flight operation. In order to build a more intelligent and easy-to-deploy airport apron operation analysis guarante...
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E.E. Istratova,E.A. Bukhamer,I.N. Tomilov
Pág. 54 - 60
The article presents the results of the development of a motion detection method taking into account the filtering of noise in the frame. Based on the analysis of literature sources, a combined approach to motion detection based on classical and heuristi...
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E.E. Istratova,E.A. Bukhamer,I.N. Tomilov
Pág. 54 - 60
The article presents the results of the development of a motion detection method taking into account the filtering of noise in the frame. Based on the analysis of literature sources, a combined approach to motion detection based on classical and heuristi...
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Fabrice Saffre and Hanno Hildmann
Genetic algorithms (GA?s) are mostly used as an offline optimisation method to discover a suitable solution to a complex problem prior to implementation. In this paper, we present a different application in which a GA is used to progressively adapt the c...
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Chel-Sang Yoon, Hae-Sun Jung, Jong-Won Park, Hak-Geun Lee, Chang-Ho Yun and Yong Woo Lee
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Rongheng Li, Jian Zhang and Wenfeng Shen
With the rapid development of video surveillance technology, especially the popularity of cloud-based video surveillance applications, video data begins to grow explosively. However, in the cloud-based video surveillance system, replicas occupy an amount...
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Rongheng Li, Jian Zhang and Wenfeng Shen
With the rapid development of video surveillance technology, especially the popularity of cloud-based video surveillance applications, video data begins to grow explosively. However, in the cloud-based video surveillance system, replicas occupy an amount...
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E.E. Istratova,A.O. Amelchenko
Pág. 38 - 48
The article presents the results of the development of software for managing the building security system. During the study, an analysis of existing systems was carried out, an own algorithm for processing video streams was developed, tools were selected...
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Zhenfeng Shao, Congmin Li, Deren Li, Orhan Altan, Lei Zhang and Lin Ding
The integration of intelligent video surveillance and GIS (geograhical information system) data provides a new opportunity for monitoring and protecting cultivated land. For a GIS-based video monitoring system, the prerequisite is to align the GIS data w...
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E.A. Bukhamer,I.N. Tomilov,E.E. Istratova
Pág. 11 - 16
The article presents the results of the development and testing of motion detection software. This module can be used as part of an intelligent video surveillance system in embedded systems with limited computing power. The software was developed based o...
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E.A. Bukhamer,I.N. Tomilov,E.E. Istratova
Pág. 11 - 16
The article presents the results of the development and testing of motion detection software. This module can be used as part of an intelligent video surveillance system in embedded systems with limited computing power. The software was developed based o...
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Zhentian Sun, Yuming Yuan, Wang Hao, Ali Haghani
Pág. 5255 - 5265
With the growing traffic incidents led by the rapid increase of traffic volume on freeways, Chinese government is facing how to ensure the efficiency and safety of the freeway system. One of the hot debates is the efficiency of Freeway service patrols (F...
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Miro Petkovic, Igor Vujovic, Zvonimir Lu?ic and Jo?ko ?oda
Automated surveillance systems based on machine learning and computer vision constantly evolve to improve shipping and assist port authorities. The data obtained can be used for port and port property surveillance, traffic density analysis, maritime safe...
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Daekyo Jung, Vu Tran Tuan, Dai Quoc Tran, Minsoo Park and Seunghee Park
In order to protect human lives and infrastructure, as well as to minimize the risk of damage, it is important to predict and respond to natural disasters in advance. However, currently, the standardized disaster response system in South Korea still need...
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Julio Suarez-Paez, Mayra Salcedo-Gonzalez, Alfonso Climente, Manuel Esteve, Jon Ander Gómez, Carlos Enrique Palau and Israel Pérez-Llopis
This paper shows a Novel Low Processing Time System focused on criminal activities detection based on real-time video analysis applied to Command and Control Citizen Security Centers. This system was applied to the detection and classification of crimina...
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Andi Besse Firdausiah Mansur,Norazah Yusof
Pág. 156 - 161
Since the booming of ?big data? or ?data analytic? topics, it has drawn attention toward several research areas such as: student behavior classification, video surveillance, automatic navigation and etc. This paper present k-mean clustering technique to ...
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Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca and Daniele Pannone
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite of ...
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Lwando Nkuzo, Malusi Sibiya and Elisha Didam Markus
Using a safety belt is crucial for preventing severe injuries and fatalities during vehicle accidents. In this paper, we propose a real-time vehicle occupant safety belt detection system based on the YOLOv7 (You Only Look Once version seven) object detec...
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Kuk Cho and Dooyong Cho
This paper describes a method that precisely estimates the position of images of traffic surveillance camera objects. We suggest a projection method with multiple traffic surveillance cameras through a local coordinate system into a global coordinate sys...
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