Search
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.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (2)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- The XIX Polish Control Conference (Krajowa Konferencja Automatyki) strony 200 - 213
- Language:
- Polish
- Publication year:
- 2017
- Bibliographic description:
- Kowalczuk Z., Frączek S.: System for tracking multiple trains on a test railway track// The XIX Polish Control Conference (Krajowa Konferencja Automatyki)/ Kraków (Poland): AGH, Kraków, 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
seen 79 times