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Journal of Electronic Imaging

Motion-based object tracking method for safety at level crossing
Author(s): Houssam Salmane; Louahdi Khoudour; Yassine Ruichek
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Paper 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.

Paper Details

Date Published: 11 August 2016
PDF: 16 pages
J. Electron. Imag. 25(5) 051208 doi: 10.1117/1.JEI.25.5.051208
Published in: Journal of Electronic Imaging Volume 25, Issue 5
Show Author Affiliations
Houssam Salmane, Univ. d'Orléans (France)
Louahdi Khoudour, CEREMA, Ctr. d'etudes et d'expertise sur les risques, l'environement, la mobilité et l'aménagement (France)
Yassine Ruichek, Univ. de Technologie de Belfort-Montbéliard (France)

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