A real-time person tracking system based on SiamMask network for intelligent video surveillance

2021 ◽  
Author(s):  
Imran Ahmed ◽  
Gwanggil Jeon
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Tracking System ◽  
Intelligent Video Surveillance ◽  
Person Tracking

Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance

ETRI Journal ◽  
2015 ◽  
Vol 37 (3) ◽  
pp. 551-561 ◽  
Author(s):  
Jin-Woo Choi ◽  
Daesung Moon ◽  
Jang-Hee Yoo
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Intelligent Video Surveillance ◽  
Person Tracking ◽  
Multi Person Tracking

scholarly journals SIAT: A Distributed Video Analytics Framework for Intelligent Video Surveillance

Symmetry ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 911 ◽  
Author(s):  
Md Azher Uddin ◽  
Aftab Alam ◽  
Nguyen Anh Tu ◽  
Md Siyamul Islam ◽  
Young-Koo Lee
Keyword(s):  
Distributed Computing ◽  
Real Time ◽  
Video Surveillance ◽  
Video Processing ◽  
Large Scale ◽  
Distributed Processing ◽  
Content Management ◽  
Video Data ◽  
Video Analytics ◽  
Intelligent Video Surveillance

In recent years, the amount of intelligent CCTV cameras installed in public places for surveillance has increased enormously and as a result, a large amount of video data is produced every moment. Due to this situation, there is an increasing request for the distributed processing of large-scale video data. In an intelligent video analytics platform, a submitted unstructured video undergoes through several multidisciplinary algorithms with the aim of extracting insights and making them searchable and understandable for both human and machine. Video analytics have applications ranging from surveillance to video content management. In this context, various industrial and scholarly solutions exist. However, most of the existing solutions rely on a traditional client/server framework to perform face and object recognition while lacking the support for more complex application scenarios. Furthermore, these frameworks are rarely handled in a scalable manner using distributed computing. Besides, existing works do not provide any support for low-level distributed video processing APIs (Application Programming Interfaces). They also failed to address a complete service-oriented ecosystem to meet the growing demands of consumers, researchers and developers. In order to overcome these issues, in this paper, we propose a distributed video analytics framework for intelligent video surveillance known as SIAT. The proposed framework is able to process both the real-time video streams and batch video analytics. Each real-time stream also corresponds to batch processing data. Hence, this work correlates with the symmetry concept. Furthermore, we introduce a distributed video processing library on top of Spark. SIAT exploits state-of-the-art distributed computing technologies with the aim to ensure scalability, effectiveness and fault-tolerance. Lastly, we implant and evaluate our proposed framework with the goal to authenticate our claims.

A Brief Cartography of Smart Cameras

2011 ◽  
pp. 257-271
Author(s):  
Fernanda Bruno
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Urban Space ◽  
Automated Detection ◽  
Surveillance Systems ◽  
Smart Cameras ◽  
Intelligent Video Surveillance ◽  
Individual Level ◽  
Future Events ◽  
Control Devices

This chapter carries out a brief cartography of the so-called “intelligent” video surveillance systems. These systems are programmed to accomplish real time automated detection of situations considered irregular and/or suspicious in specific environments, in order to predict and prevent undesirable events. Three aspects of the smart cameras are focused in this cartography. First, the author explores its regime of visibility and note how it prioritizes the capture of irregularities in the body’s movements in urban space. Second, the author shows how the type of monitoring and profiling of bodies and behaviors in these systems generally acts at the visible, surface and infra-individual level of human conduct. Finally, he analyzes the temporality of smart cameras, especially in its proactive dimension that intends to foresee and intervene, in real time, in future events. The analysis of these three aspects of the intelligent video surveillance identifies and highlights discourses, processes and operations that are common to the exercising of power and surveillance in contemporary societies – more specifically, those which are included in the realm of control devices.

A Brief Cartography of Smart Cameras

2013 ◽  
pp. 66-80
Author(s):  
Fernanda Bruno
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Urban Space ◽  
Automated Detection ◽  
Surveillance Systems ◽  
Smart Cameras ◽  
Intelligent Video Surveillance ◽  
Individual Level ◽  
Future Events ◽  
Control Devices

This chapter carries out a brief cartography of the so-called “intelligent” video surveillance systems. These systems are programmed to accomplish real time automated detection of situations considered irregular and/or suspicious in specific environments, in order to predict and prevent undesirable events. Three aspects of the smart cameras are focused in this cartography. First, the author explores its regime of visibility and note how it prioritizes the capture of irregularities in the body’s movements in urban space. Second, the author shows how the type of monitoring and profiling of bodies and behaviors in these systems generally acts at the visible, surface and infra-individual level of human conduct. Finally, he analyzes the temporality of smart cameras, especially in its proactive dimension that intends to foresee and intervene, in real time, in future events. The analysis of these three aspects of the intelligent video surveillance identifies and highlights discourses, processes and operations that are common to the exercising of power and surveillance in contemporary societies – more specifically, those which are included in the realm of control devices.

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