Visual detection and tracking of moving objects

Date

2007-06-13

Author

Ergezer, Hamza
Leblebicioğlu, Mehmet Kemal

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this paper, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Running average method has been used to detect the moving objects in the video, which is taken from a static camera. Tracking of foreground objects has been realized by using a Kalman filter. After background subtraction, morphological operators are used to remove noises detected as foreground. Active contour models (snakes) are the segmentation tools for the extracted foregrounds. Snakes have been also used as an extra tool for object tracking.

Subject Keywords

Active contours, Background noise, Cameras, Surveillance, Kalman filters, Gaussian processes, Object detection

URI

https://hdl.handle.net/11511/35571

DOI

https://doi.org/10.1109/siu.2007.4298624

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

H. Ergezer and M. K. Leblebicioğlu, “Visual detection and tracking of moving objects,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35571.