A Novel Algorithm for Vehicle Detection and Tracking in Airborne Videos

Mohamed A. Abdelwahab; Moataz M. Abdelwahab

doi:10.1109/ISM.2015.77

A Novel Algorithm for Vehicle Detection and Tracking in Airborne Videos

Mohamed A. Abdelwahab, Moataz M. Abdelwahab

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

Real time detection and tracking of multi vehicles in airborne videos is still a challenging problem due to the camera motion and low resolution. In this paper, a real time technique for simultaneously detecting, tracking and counting vehicles in airborne and stationary camera videos is proposed. First, feature points are extracted and tracked through video frames. A new strategy is used for removing the non-stationary background points by measuring the changes in the histogram of the pixels around each feature point with time. The obtained foreground features are clustered and grouped into separate trackable vehicles based on their motion properties. Experimental results performed on videos representing airborne and fixed cameras confirm the excellent properties of the proposed algorithm.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	65-68
Number of pages	4
ISBN (Electronic)	9781509003792
DOIs	https://doi.org/10.1109/ISM.2015.77
Publication status	Published - Mar 25 2016
Externally published	Yes
Event	17th IEEE International Symposium on Multimedia, ISM 2015 - Miami, United States Duration: Dec 14 2015 → Dec 16 2015

Publication series

Name	Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015

Conference

Conference	17th IEEE International Symposium on Multimedia, ISM 2015
Country/Territory	United States
City	Miami
Period	12/14/15 → 12/16/15

All Science Journal Classification (ASJC) codes

Computer Science Applications
Hardware and Architecture
Software
Computer Networks and Communications

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10.1109/ISM.2015.77

Cite this

Abdelwahab, M. A., & Abdelwahab, M. M. (2016). A Novel Algorithm for Vehicle Detection and Tracking in Airborne Videos. In Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015 (pp. 65-68). Article 7442298 (Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISM.2015.77

A Novel Algorithm for Vehicle Detection and Tracking in Airborne Videos. / Abdelwahab, Mohamed A.; Abdelwahab, Moataz M.
Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 65-68 7442298 (Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abdelwahab, MA & Abdelwahab, MM 2016, A Novel Algorithm for Vehicle Detection and Tracking in Airborne Videos. in Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015., 7442298, Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015, Institute of Electrical and Electronics Engineers Inc., pp. 65-68, 17th IEEE International Symposium on Multimedia, ISM 2015, Miami, United States, 12/14/15. https://doi.org/10.1109/ISM.2015.77

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abstract = "Real time detection and tracking of multi vehicles in airborne videos is still a challenging problem due to the camera motion and low resolution. In this paper, a real time technique for simultaneously detecting, tracking and counting vehicles in airborne and stationary camera videos is proposed. First, feature points are extracted and tracked through video frames. A new strategy is used for removing the non-stationary background points by measuring the changes in the histogram of the pixels around each feature point with time. The obtained foreground features are clustered and grouped into separate trackable vehicles based on their motion properties. Experimental results performed on videos representing airborne and fixed cameras confirm the excellent properties of the proposed algorithm.",

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N2 - Real time detection and tracking of multi vehicles in airborne videos is still a challenging problem due to the camera motion and low resolution. In this paper, a real time technique for simultaneously detecting, tracking and counting vehicles in airborne and stationary camera videos is proposed. First, feature points are extracted and tracked through video frames. A new strategy is used for removing the non-stationary background points by measuring the changes in the histogram of the pixels around each feature point with time. The obtained foreground features are clustered and grouped into separate trackable vehicles based on their motion properties. Experimental results performed on videos representing airborne and fixed cameras confirm the excellent properties of the proposed algorithm.

AB - Real time detection and tracking of multi vehicles in airborne videos is still a challenging problem due to the camera motion and low resolution. In this paper, a real time technique for simultaneously detecting, tracking and counting vehicles in airborne and stationary camera videos is proposed. First, feature points are extracted and tracked through video frames. A new strategy is used for removing the non-stationary background points by measuring the changes in the histogram of the pixels around each feature point with time. The obtained foreground features are clustered and grouped into separate trackable vehicles based on their motion properties. Experimental results performed on videos representing airborne and fixed cameras confirm the excellent properties of the proposed algorithm.

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A Novel Algorithm for Vehicle Detection and Tracking in Airborne Videos

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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