Real-time Background Subtraction in C++
نویسندگان
چکیده
Identifying objects of interest from a video sequence is a fundamental and essential part in many vision systems. A common method is to perform background subtraction. For automated surveillance systems, real-time background subtraction is especially important to ensure the performance of the systems. In this paper, we review various background subtraction algorithms in a binary hypothesis test way and compare their performances. We implement several of the algorithms in real-time and get robust, auto-adaptive results of the background subtraction.
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