DocumentCode
1730974
Title
An improved SSDA applied in target tracking
Author
Zhenhua, H. ; Peiying, Zhu
Author_Institution
Dept. of Autom. Control Eng., Nanjing Inst. of Technol., China
fYear
1988
Firstpage
767
Abstract
An improved SSDA (sequential similarity detection algorithm), which may be used to determine similarity in a more efficient manner than the SSDA currently in use, is introduced. The algorithm saves computation time and improves performance compared to the current SSDA. The problem of target tracking, used as an example, and calculation of performance indexes of SSDA are introduced to optimally implement the algorithm. Two series of frame images are simulated from real data to demonstrate the efficiency of the improved SSDA for target tracking
Keywords
computerised pattern recognition; computerised picture processing; performance index; SSDA; computerised pattern recognition; computerised picture processing; frame images; performance indexes; sequential similarity detection algorithm; target tracking; Autocorrelation; Costs; Electrical capacitance tomography; Hardware; Image sensors; Linear approximation; Pixel; Random number generation; Target tracking; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28353
Filename
28353
Link To Document