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Content Provider | IEEE Xplore Digital Library |
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Author | Alefs, B. Schreiber, D. |
Copyright Year | 2007 |
Description | Author affiliation: Austrian Res. Centers GmbH-ARC, Vienna (Alefs, B.; Schreiber, D.) |
Abstract | Image streams from road surveillance cameras often show a poor quality for measuring the vehicle's speed. This paper discusses methods for detection and tracking of vehicles that 1) provides statistical data on bidirectional traffic and 2) provides continuous speed measurements of individual vehicles for a typical range up to 100 m for rear viewed and 70 m for oncoming vehicles, respectively. Detection is based on a block-based variant of the AdaBoost detector with edge orientation histograms. The tracker uses a robust variant of the extended Lucas Kanade template matching algorithm. Results on day and night time sequences show detection on from a vehicle size of 20 x 20 pixels, and tracking down to 10 x 10 pixels, with a speed accuracy of 2.3%, for 95% of the vehicles. |
Starting Page | 405 |
Ending Page | 412 |
File Size | 743990 |
Page Count | 8 |
File Format | |
ISBN | 9781424413959 |
DOI | 10.1109/ITSC.2007.4357689 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-09-30 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Velocity measurement Trajectory Vehicle detection Robustness Image edge detection Streaming media Surveillance Cameras Road vehicles Detectors |
Content Type | Text |
Resource Type | Article |
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