Search
Abstract
An algorithm for detection of moving objects in video streams from the monitoring cameras is presented. A system composed of a standard video camera and a thermal camera, mounted in close proximity to each other, is used for object detection. First, a background subtraction is performed in both video streams separately, using the popular Gaussian Mixture Models method. For the next processing stage, the authors propose an algorithm which synchronizes the video streams and performs a projective transformation of the images so that they are properly aligned. Finally, the algorithm processes the partial back-ground subtraction results from both cameras in order to obtain a combined re-sult, from which connected components representing moving objects may be extracted. The tests of the proposed algorithm confirm that employing the dual camera system for moving object detection improves its accuracy in difficult lighting conditions.
Citations
-
5
CrossRef
-
0
Web of Science
-
9
Scopus
Authors (2)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- W : Multimedia Communications, Services and Security strony 262 - 272
- Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Szwoch G., Szczodrak M..: Detection of moving objects in images combined from video and thermal cameras, W: W : Multimedia Communications, Services and Security, 2013, Springer,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-642-38559-9_23
- Verified by:
- Gdańsk University of Technology
seen 108 times