Ozturk, AliCayiroglu, Ibrahim2024-09-292024-09-2920222241-44871792-8036https://hdl.handle.net/20.500.14619/8719This study combined SIFT and SSA to propose a novel algorithm for real-time object tracking. The proposed algorithm utilizes an intermediate fixed-size buffer and a modified SSA algorithm. Since the complete reconstruction step of the SSA algorithm was unnecessary, it was considerably simplified. In addition, the execution time of a Matlab implementation of the SSA algorithm was compared with a respective C++ implementation. Moreover, the performance of the two different matching algorithms in the detection, the FlannBasedMatcher and Brute-Force matcher algorithms of the OpenCV library, was compared.eninfo:eu-repo/semantics/closedAccessobject trackingobject detectioncomputer visionSIFTSSAArticle88774887212WOS:000843479700015N/A