DocumentCode :
310417
Title :
A method for multiple rigid-object motion segmentation based on detection and consistent matching of relevant points in image sequences
Author :
Domingo, J. ; Ayala, G. ; Dias, E.
Author_Institution :
Inst. de Robotica, Valencia Univ., Spain
Volume :
4
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
3021
Abstract :
This article describes a method to detect and characterise the independent movement of several rigid objects in a sequence of images. No model is assumed for the moving objects, meanwhile a linear model in the image plane is accepted for the pixels of each object, which can be changed without losing the generality. The approach works on each pair of images. Relevant points are detected on them and then each moving object is identified as two clusters of similar relevant points, one per image, that perform a consistent movement. The consistent movement constraint is incorporated into the cluster building phase, which is different from previous approaches. The main property of the proposed method is its robustness, since minimal assumptions are assumed. Results are provided with tests on two different kinds of scenes: a laboratory one and a natural traffic scene
Keywords :
image matching; image segmentation; motion estimation; video signal processing; consistent movement constraint; image plane; laboratory scene; linear model; movement estimation; multiple rigid object motion segmentation; natural traffic scene; pixels; relevant points detection; relevant points matching; video image sequences; Computer vision; Image sequence analysis; Image sequences; Layout; Motion detection; Motion segmentation; Object detection; Object recognition; Pixel; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.595428
Filename :
595428
Link To Document :
بازگشت