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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shu-Ching Chen Mei-Ling Shyu Chengcui Zhang |
| Copyright Year | 2001 |
| Description | Author affiliation: Distributed Multimedia Inf. Syst. Lab., Florida Int. Univ., Miami, FL, USA (Shu-Ching Chen) |
| Abstract | Recently, the Intelligent Transportation Systems (ITS) have been identified as the new paradigm to address the growing mobility problems, and to alleviate congestion and augment the quality of vehicular flow. This paper presents an intelligent and automatic framework for spatio-temporal vehicle tracking in video sequences in order to provide useful information to the traffic control center. The spatio-temporal relationships of the objects are captured automatically via a proposed unsupervised image/video segmentation method and multimedia input strings. A traffic video sequence is used to demonstrate the effectiveness of the proposed framework to identify and track the vehicle objects in the video sequence. |
| Starting Page | 213 |
| Ending Page | 218 |
| File Size | 733813 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780371941 |
| DOI | 10.1109/ITSC.2001.948658 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-08-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent vehicles Traffic control Video sequences Intelligent transportation systems Communication system traffic control Information systems Vehicle detection Intelligent control Multimedia systems Laboratories |
| Content Type | Text |
| Resource Type | Article |
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