A Quantitative Comparison Research on Frame Level Background Subtraction Algorithms

نویسندگان

  • Hongzhi Gao
  • Richard Green
چکیده

Frame level background subtraction algorithms are widely used in real-time computer vision systems because of their simplicity and efficiency. Besides the ordinary reference frame subtraction algorithm and double difference algorithm, a hybrid algorithm: reference frame subtraction double difference algorithm, has been proposed recently. In this research, an algorithm of synthesizing video clips with known ground truth is proposed; then, these video clips are used to compare the three frame level background subtraction algorithms quantitatively.

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تاریخ انتشار 2007