Real-time movement detection and analysis for video surveillance applications

2014 ◽  
Author(s):  
Nicolas Hueber ◽  
Christophe Hennequin ◽  
Pierre Raymond ◽  
Jean-Pierre Moeglin
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Movement Detection ◽  
Time Movement ◽  
Surveillance Applications

Bitstream-Based JPEG Encryption in Real-time

2013 ◽  
Vol 5 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Stefan Auer ◽  
Alexander Bliem ◽  
Dominik Engel ◽  
Andreas Uhl ◽  
Andreas Unterweger
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Time Operation ◽  
Real Time Operation ◽  
Surveillance Applications

The authors propose a framework to encrypt Baseline JPEG files directly at bitstream level, i.e., without the need to recompress them. The authors’ approach enables encrypting more than 25 pictures per second in VGA resolution, allowing real-time operation in typical video surveillance applications. In addition, their approach preserves the length of the bitstream while being completely format-compliant. Furthermore, the authors show that an attack on the encryption process, which partly relies on AES, is practically infeasible.

scholarly journals SCRAS Server-Based Crosslayer Rate-Adaptive Video Streaming over 4G-LTE for UAV-Based Surveillance Applications

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 910 ◽  
Author(s):  
Muhammad Naveed ◽  
Sameer Qazi ◽  
Syed Muhammad Atif ◽  
Bilal A. Khawaja ◽  
Muhammad Mustaqim
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Rate Adaptation ◽  
Wireless Channel ◽  
Video Frame ◽  
Lte Networks ◽  
Adaptive Video ◽  
Rate Adaptive ◽  
4G Lte ◽  
Surveillance Applications

This research focuses on intelligent unmanned aerial vehicle (UAV)-based, real-time video surveillance to ensure better monitoring and security of remote locations over 4G-LTE cellular networks by maximizing end-user quality of experience (QoE). We propose a novel server-based crosslayer rate-adaptive scheme (SCRAS) for real-time video surveillance over 4G-LTE networks using UAVs. Our key contributions are: (1) In SCRAS, mobile UAVs having preprogrammed flight co-ordinates act as servers, streaming real-time video towards a remote client; (2) server-side video rate adaptation occurs in 4G-LTE based on the physical characteristics of the received signal conditions due to variations in the wireless channel and handovers; (3) SCRAS is fully automated and independent of client assistance for rate adaptation, as it is intended for real-time, mission-critical surveillance applications; (4) SCRAS ensures that during rate adaptation, the current video frame should not be damaged by completing the current group of packet (GoP) before adaptation. Our simulations in NS3 provide credible evidence that SCRAS outperforms recently proposed schemes in providing better QoE for real-time, rate-adaptive, video surveillance over 4G-LTE under varying channel quality and frequent handovers that occur during flight by UAVs.

Remote Video Surveillance Applications in Landslide Monitoring

2012 ◽  
Vol 594-597 ◽  
pp. 1086-1092
Author(s):  
Jie Yin ◽  
Hai Feng Wang ◽  
Shi Mei Wang ◽  
Fen Xu
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Monitoring ◽  
Landslide Monitoring ◽  
Video Surveillance System ◽  
Monitoring Methods ◽  
Surveillance Technology ◽  
Government Education ◽  
Surveillance Applications

This article describes the successful application of video surveillance technology in various fields of security, government, education, expounds some commonly used landslide monitoring methods and characteristics of remote video monitoring system, demonstrates that it’s essential to apply the remote video surveillance to landslide monitoring. That remote video surveillance technology and professional platform software are combined establish a set of landslide video surveillance system. Through the real-time pictures, we can make reasonable explanation for the phenomenon of abnormal fluctuations, thus the damage due to unexpected geological landslide can be prevented and timely resolved.

Sign in / Sign up

Export Citation Format

Share Document