Motion detection in image sequences acquired from a moving platform

Authors:
Qinfen Zheng;Rama Chellappa
Affiliations:
Center for Automation Research, Univ. of Maryland, College Park, MD;Department of Electrical Engineering, Inst. for Advanced Computer Studies, Center for Automation Research, Univ. of Maryland, College Park, MD
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Year:
1993

Citing 2
Cited 1

Algorithms for subpixel registration

Computer Vision, Graphics, and Image Processing
Estimation of Illuminant Direction, Albedo, and Shape from Shading

IEEE Transactions on Pattern Analysis and Machine Intelligence

Model-based obstacle detection from image sequences

ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

A two step motion segmentation algorithm for the detection of moving objects in image sequences acquired from a moving platform is presented. First, the image plane transformation induced by the moving platform is estimated using a subpixel accuracy image registration algorithm. The registration algorithm is fully automatic and performs well under significant camera rotation and translation. The input images are then transformed into a common coordinate system (for example, the coordinate system of the first image). We then segment the changed regions from the camera motion compensated frame difference. And finally, we detect the moving object from the closure of changing segments and estimate the object motion parameters. Experimental results with real image sequences are presented.