Title :
Removal of Moving Objects from a Street-View Image by Fusing Multiple Image Sequences
Author :
Uchiyama, Hiroyuki ; Deguchi, Daisuke ; Takahashi, Tomokazu ; Ide, Ichiro ; Murase, Hiroshi
Author_Institution :
Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya, Japan
Abstract :
We propose a method to remove moving objects from an in-vehicle camera image sequence by fusing multiple image sequences. Driver assistance systems and services such as Google Street View require images containing no moving object. The proposed scheme consists of three parts: (i) collection of many image sequences along the same route by using vehicles equipped with an omni-directional camera, (ii) temporal and spatial registration of image sequences, and (iii) mosaicing partial images containing no moving object. Experimental results show that 97.3% of the moving object area could be removed by the proposed method.
Keywords :
cameras; image fusion; image motion analysis; image segmentation; image sequences; road vehicles; traffic engineering computing; Google street view; driver assistance systems; fusing multiple image sequences; in-vehicle camera image sequence; moving objects removal; omnidirectional camera; partial image mosaicing; spatial registration; street-view image; temporal registration; Bicycles; Cameras; Google; Image sequences; Pattern recognition; Pixel;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.844