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Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field

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Abstract

An interesting application of the soft computing paradigm involving fuzzy set-theoretic concepts is the tracking of targets from a motion scene preceded by faithful extraction of motion object features and prototypes. Tracking is essentially a three step process. The first step is involved in analyzing the motion scene under consideration for extracting moving object-centric features. Subsequently, the selected features are used to segment/cluster the motion scene into several moving object regions. Finally, the feature space is updated based on the analysis of the segmented motion scene for future retrieval of moving object regions.

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Bhattacharyya, S., Maulik, U. (2013). Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field. In: Soft Computing for Image and Multimedia Data Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40255-5_4

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  • DOI: https://doi.org/10.1007/978-3-642-40255-5_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40254-8

  • Online ISBN: 978-3-642-40255-5

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