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To efficiently detect all the possible linear features, a multi scale multi structuring element top-hat transform based algorithm is proposed in this paper. The algorithm is divided into two parts: the multi scale multi structuring element top-hat transform and postprocessing. In the multi scale multi structuring element top-hat transform, multi scales of multi structuring elements with increasing...
Tracking individuals in video sequences, especially in crowded scenes, is still a challenging research topic in the area of pattern recognition and computer vision. However, current single camera tracking approaches are mostly based on visual features only. The novelty of the approach proposed in this paper is the integration of evidences from a crowd simulation algorithm into a pure vision based...
This paper introduces a generic method for the accurate analysis of junctions, relying on a statistical modeling of normalized image gradients. We analyze junctions as local visual events that do not happen by chance under a background model derived from the a-contrario methodology. The method not only provides thresholds for the detection of junctions, but also enables their accurate characterization,...
In this paper, we present an algorithm to detect and describe features of surface textures, similar to SIFT and SURF. In contrast to approaches solely based on the intensity image, it uses depth information to achieve invariance with respect to arbitrary changes of the camera pose. The algorithm works by constructing a scale space representation of the image which conserves the real-world size and...
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