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
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;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28353
