Abstract
A new method for real-time occlusion-robust tracking is proposed. By analyzing the process of occlusion occurrence, we present a fast and effective occlusion detection algorithm based on the spatio-temporal context information. As a result, we can always obtain correct target location using adaptive template matching with patch-based structure description, regardless of the occlusion situation. Our extensive experiments on many sequences verify the good performance of our algorithm. In addition, based on the framework of our algorithm and properties we find, more effective occlusion-robust tracking algorithms can be developed.
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Tian, J., Zhou, Y. (2014). Real-Time Patch-Based Tracking with Occlusion Handling. In: Loo, C.K., Yap, K.S., Wong, K.W., Beng Jin, A.T., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8836. Springer, Cham. https://doi.org/10.1007/978-3-319-12643-2_26
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DOI: https://doi.org/10.1007/978-3-319-12643-2_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12642-5
Online ISBN: 978-3-319-12643-2
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