Abstract
Object tracking is core probelm in computer vision for effective video surveillance. Wavelet based tracking techniques have emerged as a powerful tool. We have exploited newly emerged curvelet transform coefficients for video object tracking. Unlike existing methods, wavelet based tracking computes only wavelet coefficients and do not get affected by variations in object’s shape, size or color. However, we assumed that size of object does not change significantly in consecutive frames. A small change is permissible only. If we take long frame range, we see that object’s shape and size changes significantly. Experimentation demonstrates that curvelet transform is capable of tracking of single object as well as multiple objects. It is found superior when compared qualitatively and quantitatively with existing tracking methods.
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Singh, R., Nigam, S., Singh, A.K., Elhoseny, M. (2020). Object Tracking. In: Intelligent Wavelet Based Techniques for Advanced Multimedia Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-31873-4_6
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DOI: https://doi.org/10.1007/978-3-030-31873-4_6
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