Mice and larvae tracking using a particle filter with an auto-adjustable observation model
Pattern Recognition Letters
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We present a new class of human psychology inspired descriptors that exhibits the ability to yield meaningful structural descriptions of an object. Our framework involves (1) detecting salient pairings of lines segments which are extracted from the line edge map of an image and (2) exploiting these pairs of line segments to construct the structural descriptors. Specifically, we integrate the spatial qualities of the line segments with the perceptually salient colors of the image to jointly identify the salient pairings of the line segments. We term such pairings of line segments as the quadrangles. By harnessing the spatial configurations and the geometrical relationships between the quadrangles, we design descriptors which characterize the local structures of an object. Promising recognition results of the four-legged animals are presented.