DocumentCode
3571968
Title
SSDA for Colored Target Based on Characteristic Differences
Author
Sun, Ligong ; Li, Sujuan ; Zhang, Leiming ; Xiang, Fei
Author_Institution
Electron. & Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
Volume
1
fYear
2012
Firstpage
255
Lastpage
257
Abstract
The paper proposes a sequential similarity detection algorithm (SSDA) for colored target based on characteristic differences. It analyzes basic SSDA, combines the characteristics of color, shape and size, then improves the SSDA. Experimental results show that the improved SSDA reduces the computational complexity, improves target identification accuracy, with better real-time.
Keywords
computational complexity; image colour analysis; object detection; robot vision; visual servoing; SSDA algorithm; characteristic difference; color characteristics; colored target; computational complexity; robot visual servo control system; sequential similarity detection algorithm; shape characteristics; size characteristics; target identification; Cameras; Image color analysis; Image matching; Robot kinematics; Shape; Target recognition; SSDA; characteristic differences; image matching; weight coefficient;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.387
Filename
6188142
Link To Document