Automatic construction of moving object segmentation from video image using 3D-ACTIT

Abstract

Recently, we often deal with multi-dimensional data in the field of image processing. Thanks to the development of imaging equipments and computational processing speed, we can process 3D image data. For instance, 3D volume image and video image data have been used in various fields. In general, it is difficult to construct 3D image processing compared with 2D ones. Thus, we previously proposed the method named 3D-ACTIT; Three Dimensional Automatic Construction of Tree-structural Image Transformation to construct various 3D image processing procedures automatically. This system constructs tree-structural image processing filter from combination of one-input one-output filters and two-inputs one-output filters by using Genetic Programming (GP). We give only some training image sets, this system constructs complex 3D image processing automatically. By using this system, we succeeded to construct the complex 3D medical image processing. For instance, the extraction processing of internal organs from 3D- PET data and abnormal signals from 3D Diffusion Weighted Image are constructed. In addition to the field of medical image processing, in Intelligent Transport system (ITS) and security system, video image processing requires complex and 3D processing. In this paper, we apply 3D-ACTIT to video image data. We took the video image data using some compact robots on the assumption of in-vehicle camera. 3D-ACTIT constructs the processing which extracts the moving objects.