Abstract
The objective of this work is to investigate a new approach for segmentation of real-world objects in video sequences. While some amount of user interaction is still necessary for most algorithms in this field, in order for them to produce adequate results, these can be reduced making use of certain properties of graph-based image segmentation algorithms. Based on one of these algorithms a framework is proposed that tracks individual foreground objects through arbitrary video sequences and partly automates the necessary corrections required from the user. Experimental results suggest that the proposed algorithm performs well on both low- and high-resolution video sequences and can even, to a certain extent, cope with motion blur and gradual object deformations.
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Esche, M., Karaman, M., Sikora, T. (2013). Semi-Automatic Object Tracking in Video Sequences by Extension of the MRSST Algorithm. In: Adami, N., Cavallaro, A., Leonardi, R., Migliorati, P. (eds) Analysis, Retrieval and Delivery of Multimedia Content. Lecture Notes in Electrical Engineering, vol 158. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3831-1_4
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DOI: https://doi.org/10.1007/978-1-4614-3831-1_4
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