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Abstract
Several problems may arise when multiple trains are to be tracked using two IP camera streams. In this work, real-life conditions are simulated using a railway track model based on the Pomeranian Metropolitan Railway (PKM). Application of automatic clustering of optical flow is investigated. A complete tracking solution is developed using background subtraction, blob analysis, Kalman filtering, and a Hungarian algorithm. In total, six morphological, convolutional and non-linear filtering methods are compared in sixty-three combinations. Accuracy and performance of the system are evaluated, and the obtained results are analyzed and commented on.
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Published in:
-
Advances in Intelligent Systems and Computing
no. 577,
pages 200 - 213,
ISSN: 2194-5357 - Title of issue:
- Trends in Advanced Intelligent Control, Optimization and Automation strony 200 - 213
- ISSN:
- 2194-5357
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Kowalczuk Z., Frączek S.: System for tracking multiple trains on a test railway track// / ed. Wojciech Mitkowski, Janusz Kacprzyk, Krzysztof Oprzędkiewicz, Paweł Skruch Cham (Switzerland): Springer, 2017, s.200-213
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-60699-6_20
- Verified by:
- Gdańsk University of Technology
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