Title :
Examining Kalman Filters Applied to Tracking Objects in Motion
Author :
Czyzewski, Andrzej ; Dalka, Piotr
Author_Institution :
Dept. of Multimedia Syst., Gdansk Univ. of Technol., Gdansk
Abstract :
Kalman filters were used for establishing relations between objects moving in video frames to the real moving objects under analysis. As a result of applying some popular methods of moving objects detection, the objects were represented by rectangles. A two-dimensional colour histogram based on a chromatic space was used for each object in experiments. The objects coupling with adequate regions including the relation of many-to-many was studied experimentally employing Kalman filters. The implemented algorithm provides a part of an advanced audio-video surveillance system for security applications.
Keywords :
Kalman filters; image motion analysis; object detection; tracking; video signal processing; Kalman filters; audio-video surveillance system; chromatic space; moving objects detection; object motion tracking; two- dimensional colour histogram; video frames; Event detection; Filtering; Intelligent robots; Kalman filters; Monitoring; Multimedia systems; Object detection; Safety; Surveillance; Target tracking; Kalman filter; moving object tracking; video surveillance;
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2008. WIAMIS '08. Ninth International Workshop on
Conference_Location :
Klagenfurt
Print_ISBN :
978-0-7695-3344-5
Electronic_ISBN :
978-0-7695-3130-4
DOI :
10.1109/WIAMIS.2008.23