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Aggressive motion detection based on normalised Radon transform and online AdaBoost.
- Source :
-
Electronics Letters (Institution of Engineering & Technology) . 2/26/2009, Vol. 45 Issue 5, p257-259. 3p. 4 Black and White Photographs, 2 Diagrams. - Publication Year :
- 2009
-
Abstract
- A framework for human aggressive motion detection in image sequences captured from a single stationary camera is described. Background subtraction, connected chips linking and mean-shift estimation are used to extract target contour information. The binary rectangle containing contour points of the blob-set is transformed into a normalised Radon matrix. With labelled (normal or aggressive motion) Radon matrix as feature pools an online AdaBoost feature selection is implemented. Using the selected classifiers the human aggressive motion in a frame can be recognised. Experimental results show that the system performs well. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MOTION
*CAMERAS
*INTEGRATED circuits
*ELECTRONIC systems
*TECHNOLOGY
Subjects
Details
- Language :
- English
- ISSN :
- 00135194
- Volume :
- 45
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Electronics Letters (Institution of Engineering & Technology)
- Publication Type :
- Academic Journal
- Accession number :
- 36625918
- Full Text :
- https://doi.org/10.1049/el:20092891