Special Section on Intelligent Surveillance for Transport Systems

Motion-based object tracking method for safety at level crossing

[+] Author Affiliations
Houssam Salmane

University of Orleans, Prisme Laboratory, Signal and Image Group, 12 Rue de Blois, Orleans 45000, France

Louahdi Khoudour

CEREMA, Centre for Studies and Expertise on Risks, Environment, Mobility, and Urban and Country Planning, 1 Avenue Colonel Roche, Toulouse 31400, France

Yassine Ruichek

UTBM, University of Technology Belfort Montbeliard, IRTES-Set Laboratory, 12 Rue Thierry Mieg, Belfort 90000, France

J. Electron. Imaging. 25(5), 051208 (Aug 11, 2016). doi:10.1117/1.JEI.25.5.051208
History: Received December 20, 2015; Accepted July 18, 2016
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Abstract.  This paper presents a tracking method to detect and track independently moving targets, attempting to traverse the railway, in monocular camera sequences. This method is capable of tracking the maximum number of pixels belonging to an object. The method starts by detecting and separating moving objects due to background subtraction and an energy vector-based clustering. Next, the method performs the step of tracking locally. Tracking starts by generating initial optical flow of all object pixels by propagating the optical flow of Harris corner points (calculated by Lucas–Kanade technique) using normal distribution. An iterative procedure, including Kalman filtering with adaptive parameters, color intensity difference-based optimization, and validation constraints, is then implemented to reach precise and robust optical flow estimation for the majority of the pixels of the tracked objects. Different experimental results are presented, evaluated, and discussed to show the effectiveness of the method of tracking objects that may move in complex and overlapping trajectories.

© 2016 SPIE and IS&T

Topics

Optical flow

Citation

Houssam Salmane ; Louahdi Khoudour and Yassine Ruichek
"Motion-based object tracking method for safety at level crossing", J. Electron. Imaging. 25(5), 051208 (Aug 11, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.5.051208


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