Spotting recognition and tracking of a deformable object in a time-varying image using two-dimensional continuous dynamic programming

摘要

When the background is varying or a tracking target is deforming, a unified processing composed of segmentations, recognitions and tracking is difficult to realize using conventional methods. An iterative method is proposed by a combination of spotting recognition with a reference image for tracking a target and making a segmented image as a reference image for the next frame. Simultaneous processing of recognition and segmentation is called spotting recognition. 2DCDP performs spotting recognition of images. An extended 2DCDP is used to deal with multiple object images with arbitrary shapes. Experimental results showed that the method worked well.