Although many state-of-the-art object detectors have been developed, detecting small and densely packed objects with complicated orientations in remote sensing aerial images remains challenging. For detection images, different scales, sizes, appearances, of from categories could most likely enlarge the variance error. Undoubtedly, error should a non-negligible impact on performance. Motivated b...

In this paper we present an approach for probabilistic contour prediction in an object tracking system. We combine level-set methods for image segmentation with optical flow estimations based on probability distribution functions (pdf’s) calculated at each image position. Unlike most recent level-set methods that consider exclusively the sign of the level-set function to determine an object and...