Comparison of Different Video Object Tracking Methods
نویسنده
چکیده
Object tracking finds its application in several computer vision applications, such as video compression, surveillance, robotics etc. Moving object detection and tracking are important steps in object recognition, context analysis and indexing processes for visual surveillance systems. It is a big challenge for researchers to make a decision on which tracking algorithm is more suitable for which situation or environment and to determine how accurately object is tracked (real-time or non-real-time).There is a variety of object detection and tracking algorithms (i.e. methods).In this survey, we categorize the tracking methods on the basis of the object and motion representations used, provide detailed descriptions of representative methods in each category, and examine their pros and cons. Keywords— Video, Particle, Kalman , Image, Tracking
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تاریخ انتشار 2013