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Visually estimating a robot's own motion has been an active field of research within the last years. Though impressive results have been reported, some application areas still exhibit huge challenges. Especially for car-like robots in urban environments even the most robust estimation techniques fail due to a vast portion of independently moving objects. Hence, we move one step further and propose...
In this contribution a robust approach for the estimation of the camera motion is presented. For this purpose, features from a monocular image sequence are extracted and evaluated so that the three dimensional path of a moving camera can be calculated. The algorithm gives robust results even in the presence of noise and independently moving objects. The two different categories of constraint equations...
A method to detect moving vehicles in airborne video is proposed in this paper. In order to deal with moving object detection in non-stationary background, the global motion of background is estimated frame by frame according to the correspondence control points extracted by Harris feature point extraction algorithm. The relative position of the feature points is used to remove the inadequate point...
On a moving vehicle, speedy motion extraction from video is demanded. Different from the traditional motion estimation methods that track or match 2D features in consecutive motion-blurred images, this work explores a novel approach to find motion without explicit shape analysis. We take spatial integration of intensities in each frame and the obtained consecutive profiles provide distinct motion...
Image line segment feature is sparse and directional, and can facilitate the analysis of some specific geometric features and patterns. A novel vehicle target motion estimation and recognition method based on target edge line segment feature is introduced. This method includes a series of algorithms using segments as the basic elements of calculation. At first the definition of the similarities of...
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