DocumentCode :
692603
Title :
TCAM based pattern matching technique for hand gesture recognition
Author :
Karthik, T. Naga ; Eun Hye Ahn ; Yun Sik Bae ; Jun Rim Choi
Author_Institution :
Sch. of Electron. Eng., Kyungpook Nat. Univ., Daegu, South Korea
fYear :
2013
fDate :
17-19 Nov. 2013
Firstpage :
368
Lastpage :
369
Abstract :
This paper presents hand gesture recognition for pattern matching technique using ternary content addressable memory (TCAM). At present, the demand for smart devices is rapidly increasing. Based on this development, numerous applications using image processing came into progress. Of all the image processing techniques, motion detection using image processing is given high priority. TCAM has high speed parallel processing memory where it controls the data at faster rates when the search and store data runs at the same time. Therefore we proposed a method using TCAM for pattern matching that can be incorporated for image processing where device characteristics have potential value.
Keywords :
content-addressable storage; gesture recognition; image motion analysis; pattern matching; TCAM; hand gesture recognition; high speed parallel processing memory; image processing; motion detection; pattern matching technique; ternary content addressable memory; Arrays; Gesture recognition; Image processing; Motion detection; Parallel processing; Pattern matching; Timing; Content Addressable Memory (CAM); Match Line (ML); Match Line Sense Amplifier (MLSA); Pattern Matching (PM); Ternary Content Addressable Memory (TCAM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SoC Design Conference (ISOCC), 2013 International
Conference_Location :
Busan
Type :
conf
DOI :
10.1109/ISOCC.2013.6864052
Filename :
6864052
Link To Document :
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