DocumentCode :
3120844
Title :
Hausdorff distance for template detection and efficient implementation on embedded systems
Author :
Petracca, Gaetano ; Leoncini, Alessio ; Sangiacomo, Fabio ; Zunino, Rodolfo
Author_Institution :
Dept. of Biophys. & Electron. Eng. (DIBE), Univ. of Genoa, Genoa, Italy
fYear :
2010
fDate :
4-7 July 2010
Firstpage :
1623
Lastpage :
1626
Abstract :
Template selection is often a crucial task for target-detection methods; the Hausdorff distance enhances template matching by implicitly encoding the notion of resemblance. The template-matching technique proposed fits embedded electronic systems for the real-time analysis of visual scenes. Practical implementations demonstrate the approach effectiveness by means of comparative tests on several DSP-based embedded platforms.
Keywords :
embedded systems; image matching; object detection; video surveillance; DSP-based embedded platforms; Hausdorff distance; target-detection methods; template detection; template-matching technique; Digital signal processing; Image edge detection; Industrial electronics; Manganese; Pixel; Shape; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics (ISIE), 2010 IEEE International Symposium on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-6390-9
Type :
conf
DOI :
10.1109/ISIE.2010.5637569
Filename :
5637569
Link To Document :
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