Abstract
This paper addresses the problem of tracking human motion in a movie sequence involving camera movement. We have developed an approach to track the bounding box of a human in motion without using any particular model. This method exploits motion vector fields from the image, then subtracts the motion caused by the camera to obtain the segmentation of the object. In addition, we introduce a multi-level tracking approach. This approach makes the tracking operation more robust, and less prone to errors. Experiments with movie sequences representing human walk are reported.
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Nguyen, NT., Branzan-Albu, A., Laurendeau, D. (2011). From Optical Flow to Tracking Objects on Movie Videos. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21593-3_43
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DOI: https://doi.org/10.1007/978-3-642-21593-3_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21592-6
Online ISBN: 978-3-642-21593-3
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