Traffic object detections and its action analysis

In this paper, we propose a new method to detect the moving objects using the orthogonal Gaussian–Hermite moments (OGHM). For the segmentation of moving objects in the moment images, we propose a fuzzy relaxation method (FRM) and 3D morphological relaxation method (3DMRM). Finally, the trajectories,...

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Bibliographic Details
Published in:Pattern recognition letters 2005-10, Vol.26 (13), p.1963-1984
Main Authors: Wu, Youfu, Shen, Jun, Dai, Mo
Format: Article
Language:English
Subjects:
2D fuzzy relaxation
3D morphological relaxation
Action analysis
Moving object detection
Object segmentation
Orthogonal Gaussian–Hermite moments
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Summary:In this paper, we propose a new method to detect the moving objects using the orthogonal Gaussian–Hermite moments (OGHM). For the segmentation of moving objects in the moment images, we propose a fuzzy relaxation method (FRM) and 3D morphological relaxation method (3DMRM). Finally, the trajectories, speeds and accelerations of moving objects are analyzed to determine their moving direction. The experimental results show good performance of our methods in the noise scene for detecting the motion objects.
ISSN:0167-8655
1872-7344
DOI:10.1016/j.patrec.2005.02.009