期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：12
页码：1877-1885
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Detecting and tracking object is applied in diverse areas of computer vision,including video surveillance, person tracking, vehicle navigation, and robotics. Object detection and classification is essential prior to trackan object from a video sequence.The detectionprocess focuses on position, shape, and size of an object and can be achieved by using various approaches such asbackground subtraction, optical flow and spatio-temporal filtering. Once detected, the object can be categorizedusing shape-based, motion-based, and texture-based classification techniques. Over the past decades, there has been rapid development in the evaluation and analysis of object detection and tracking. This review highlights a comprehensive and up to date comparisons on available techniques, the underlying ideas, and their limitations.
