期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：2
页码：119
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The basic idea of this paper is to design and implement of video tracking system based on Camera Field ofView (CFOV), Otsu’s method was used to detect targets such as vehicles and people. Whereas mostalgorithms were spent a lot of time to execute the process, an algorithm was developed to achieve it in alittle time. The histogram projection was used in both directional to detect target from search region,which is robust to various light conditions in Charge Couple Device (CCD) camera images and savescomputation time.Our algorithm based on background subtraction, and normalize cross correlation operation from a seriesof sequential sub images can estimate the motion vector. Camera field of view (CFOV) was determined andcalibrated to find the relation between real distance and image distance. The system was tested bymeasuring the real position of object in the laboratory and compares it with the result of computed one. Sothese results are promising to develop the system in future.
关键词：Camera field of view; Image segmentation; Normalize Cross Correlation; Otsu’s method.
