Abstract
The detection of moving objects often has a high value utilization demand in real life, but the current detection methods of moving objects still have some problems and shortcomings, which need to be further optimized and ameliorated. On account of this, this paper first analyses the common methods of moving object detection, then studies the probability statistics adaptive background threshold selection method on account of VR, and finally gives the construction strategy of background model on account of pixel statistics and probability.
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