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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sehchan Oh Sunghuk Park Changmu Lee |
| Copyright Year | 2007 |
| Description | Author affiliation: Korea Railroad Res. Inst., Gyeonggi-Do (Sehchan Oh; Sunghuk Park; Changmu Lee) |
| Abstract | Passenger safety is a primary concern of railway system but, it has been urgent issue that dozens of people are killed every year when they are fallen from train platforms. In this paper, we propose a vision based monitoring system for railway station platform. The system immediately perceives dangerous factors of passengers on the platform by using image processing technology. To monitor almost entire length of the track line in the platform, we use several video cameras. Each camera conducts surveillance its own preset monitoring area whether human or dangerous object was fallen in the area. Moreover, to deal with the accident immediately, the system provides local station, central control room employees and train driver with the video information about the accident situation including alarm message. This paper introduces the system overview and detection process with experimental results. According to the results, we expect the proposed system will play a key role for establishing highly intelligent monitoring system in railway. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 2996219 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424411777 |
| DOI | 10.1109/ITST.2007.4295854 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-06-06 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Machine vision Image processing Surveillance Railway safety Humans Cameras Rail transportation Monitoring Accidents Centralized control |
| Content Type | Text |
| Resource Type | Article |
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