Abstract
Multi-object tracking is a major area of research because of its wide application scope. In this paper we describe a set of improvements, toward video surveillance context, to the multi-object tracker proposed by [1]. First, we generalize the tracking by removing the specialization made for pedestrians. Then, we integrate easily available scene knowledge in order to allow three-dimensional reasoning and better handle occlusions. Additionally, we improve the group creation and destruction mechanism by adding an association pass and an overlap similarity criterion. We evaluate the proposed method on several synthetic and real-world videos.
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© 2014 Springer International Publishing Switzerland
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Rogez, M., Robinault, L., Tougne, L. (2014). A 3D Tracker for Ground-Moving Objects. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8888. Springer, Cham. https://doi.org/10.1007/978-3-319-14364-4_67
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DOI: https://doi.org/10.1007/978-3-319-14364-4_67
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14363-7
Online ISBN: 978-3-319-14364-4
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