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High-frequency forward-looking sonars are appropriate for the operation or search close to the seabed. Constructing a panoramic mosaic not only facilitates an interpretation of the underwater environment, but also supports the vehicle's self-localization. In this paper, a method to register sonar sequences is proposed that is based on the feature tracking using the particle filtering. Our methods...
Automatically tracking and analyzing the mobility of live subcellular structures will expedite the understanding of signaling pathways, protein-protein interaction, drug delivery, protein synthesis and functionality. Traditional computer vision tracking methods produce yet-to-be-satisfactory results due to the complexity of the particles recorded in spatial-temporal video sequences from confocal images...
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. As such, accurate characterization of dynamic behavior of the left ventricle (LV) is essential in order to enhance the performance of motion estimation. However, a single Markovian model is not sufficient due to the substantial variability in typical heart motion. Moreover, dynamics of an abnormal heart could...
Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/tracking algorithms. In this connection, existing methods assume implicitly that the overlap between the distributions of image data within the object and its background has to be minimal. Unfortunately, such assumption may...
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