19 November 2012 Object tracking in the video sequence based on the automatic selection of the appropriate coordinate estimation method
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Abstract
In this paper we propose an object tracking approach that includes the selection of the appropriate coordinate estimation method from the set of base methods: cross-correlation, statistical segmentation, methods based on spatial and spatiotemporal filtering. The tracking performance of the base methods is estimated by means of the several parameters (performance features) that describe the reliability of tracking. The features are invariant to the changes of the mean brightness, contrast, scale and rotation. The comparison of the performance of the methods is based on the binary performance characteristic that describes the tracking in the terms of work/not work. The proposed object tracking algorithm is implemented in five steps which are carried out on each frame: the calculation of the performance feature for each base coordinate estimation method, the calculation of the binary performance characteristic for each method, the selection of the appropriate method, the estimation of the object coordinates using the selected method, the correction of the tracking process performed by other methods. The algorithm shows a good tracking performance during the variations of the observation conditions. In most cases it comprises the main advantages of each of the source methods.
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Boris Alpatov, Boris Alpatov, Pavel Babayan, Pavel Babayan, Sergey Smirnov, Sergey Smirnov, "Object tracking in the video sequence based on the automatic selection of the appropriate coordinate estimation method", Proc. SPIE 8542, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VI, 85420N (19 November 2012); doi: 10.1117/12.974603; https://doi.org/10.1117/12.974603
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