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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gu Yuan Xin Zhang Qingming Yao Kunfeng Wang |
| Copyright Year | 2001 |
| Abstract | 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 ve hicle 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. In addition, video surveillance systems can capture pedestrian visual information to support their detection and behavior analysis, especially their interactions with vehicles, which can help identify impending traffic accidents. |
| Starting Page | 10 |
| Ending Page | 15 |
| Page Count | 6 |
| File Size | 9028481 |
| File Format | |
| ISSN | 15411672 |
| Volume Number | 26 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Video surveillance Three dimensional displays Intelligent systems Image sensors Hierarchical and Modular Surveillance System Intelligent transportation systems intelligent systems parallel transportation management systems video surveillance systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Networks and Communications |
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