A Novel Approach to Moving Object Detection in Image Sequence Acquired by a Mobile Camera[J]. Journal of Image and Graphics, 2007, 12(9): 1590. DOI: 10.11834/jig.20070916.
Moving object detection is a very significant and difficult problem in processing image sequence acquired by a mobile camera. The objective of this research is to present a novel method to resolve the moving target detection difficulties
which bring by several layers with different motion parameters of the sequence images. Considering a moving camera
it was hard to distinguish different motion layers led by 3D depth difference of immobile objects from those caused by target moving in scene. Firstly
a mixture model of image was proposed
and the method of motion segmentation based this model were suggested. Secondly
the reconstruction method of scene depth
which employed the motion parameters by EM
was presented. Finally
the detail theory and algorithm of new moving target detection approach
which were based on the scene 3D depth reconstruction
were described. The results indicate that the moving targets detected by the new technique are more accurate than those detected by traditional methods. In addition
the detection speed becomes more-much. The results seem to suggest that the new method be able to provide efficiency and accuracy advantages in computer version.