DocumentCode
2095185
Title
A hierarchical method for detection of moving objects
Author
Xiong, Wei ; Graffigne, Christine
Author_Institution
Univ. de Paris-Sud, Orsay, France
Volume
2
fYear
1994
fDate
13-16 Nov 1994
Firstpage
795
Abstract
This paper deals with segmentation and estimation of motion for two successive images in a sequence whatever the camera situation is (static or mobile). A hierarchical method is described. The model energy is composed of two main parts, one is defined at pixel scale, and the other one on regions. These two terms are optimized alternatively
Keywords
Markov processes; hierarchical systems; image segmentation; image sequences; motion estimation; object detection; Markov random field; hierarchical method; image regions; image segmentation; image sequence; model energy; motion estimation; moving object detection; pixel scale; Cameras; Convergence; Image segmentation; Lattices; Markov random fields; Motion estimation; Object detection; Optimization methods; Paramagnetic resonance; Relaxation methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413680
Filename
413680
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