Title :
Segmentation of Frame Sequences Obtained by a Moving Observer
Author_Institution :
Department of Computer Science, General Motors Research Laboratories, Warren, MI 48090; Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI 48109.
Abstract :
In many applications of computer vision, a frame sequence may be acquired using a moving camera. We propose ego-motion polar transformation for segmentation of such sequences. It is shown that segmentation and extraction of motion information become easier in the transformed domain. Our experience with a translating camera indicates that this technique can play a very important role in the analysis of moving observer dynamic scenes.
Keywords :
Application software; Cameras; Computer vision; Data mining; EMP radiation effects; Image motion analysis; Layout; Optical computing; Optical noise; Robot vision systems; Dynamic scene analysis; ego-motion polar transformation; focus of expansion; optical flow; segmentation;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1984.4767575
