Abstract
In this paper, we present a system for detecting and tracking of a flower in a flower video based on a query sketch of the flower. The proposed system has two stages detection and tracking. In first stage a sketch of a flower of interest is given as an input. The edge orientation information of the given sketch is matched against that of an individual frame in search of a location of the flower of interest using fast directional chamfer matching. In second stage the detection coordinates have been used for tracking the sketch part in flower videos. For tracking we used joint color texture histogram to represent a target and then apply it to the mean shift framework. For experimentation we created our own dataset of 10 videos of different flowers and their sketches. To study the efficiency of the proposed method we have compared the obtained results provided by five human experts.
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Guru, D.S., Sharath Kumar, Y.H., Krishnaveni, M.T. (2013). Sketch Based Flower Detection and Tracking. In: Swamy, P., Guru, D. (eds) Multimedia Processing, Communication and Computing Applications. Lecture Notes in Electrical Engineering, vol 213. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1143-3_25
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DOI: https://doi.org/10.1007/978-81-322-1143-3_25
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