W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic People Tracking for Occlusion Handling
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
V3: A Vehicle-to-Vehicle Live Video Streaming Architecture
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
TCP Streaming for Low-DelayWireless Video
Proceedings of the Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
An Embedded Adaptive Live Video Transmission System over GPRS/CDMA Network
ICESS '05 Proceedings of the Second International Conference on Embedded Software and Systems
Video streaming on embedded devices through GPRS network
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Low-Latency Live Video Streaming over Low-Capacity Networks
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
The design of a wireless real-time visual surveillance system
Multimedia Tools and Applications
Detecting moving objects, ghosts, and shadows in video streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video coding for streaming media delivery on the Internet
IEEE Transactions on Circuits and Systems for Video Technology
Resource allocation and performance analysis of wireless video sensors
IEEE Transactions on Circuits and Systems for Video Technology
The IMS-based mobile monitoring system for integrated networks
International Journal of Internet Protocol Technology
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This paper presents a system for remote live video surveillance. Videos are acquired from a fixed camera at 10 fps and QVGA resolution, compressed at 5 or 20 kbit/s with H.264, and streamed to a remote site, where they get processed by an automatic video surveillance system. The target surveillance application performs moving object segmentation and tracking. Both ends (video acquisition and processing) could be connected through a wireless network, specifically GPRS.The whole system is studied and optimized to maintain low latency. The reported experiments demonstrate that the proposed system is able to send up to four video streams over GPRS or E-GPRS network, without significantly affecting the performance of the automatic video surveillance system. Comparative tests have been performed with other existing streaming solutions.