A fuzzy-based data replication system for QoS improvement in MANETs
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
| Hi-index | 0.00 |
Over the last 30 years, video surveillance systems have been a key part of intelligent transportation systems (ITSs), which use various image sensors to capture visual information about vehicles and pedestrians to obtain real-time knowledge of traffic conditions. Specifically, they capture vehicles' visual appearances and support mining more information about them through vehicle detection, localization, and classification; license plate recognition; vehicle-behavior analysis; and so forth. They also help generate overall vehicle statistics such as estimations of flow rate, average speed, and density. The aim of the authors' video surveillance system studies in ITS is to develop the capacity to obtain the different types of traffic information, with the hope of meeting both present and future needs. Based on the analysis of problems in present surveillance systems and their understanding of the current status and future of surveillance systems, they propose a new framework for video surveillance system, the Hierarchical and Modular Surveillance System (HMSS).