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

被引：5

作者：

Iwasa, Y ^{[1
]}

Oka, R ^{[1
]}

机构：

[1] Univ Aizu, Image Proc Lab, Fukushima 9658580, Japan

来源：

FOURTH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/CIT.2004.1357171

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：33 / 38

页数：6