Model Optimization and Testing on Real-Time Video Moving Target Detection

Abstract:

Zhang presented a statistical model of real-time video moving target detection based on Bayesian statistical theory. This article discusses the algorithm parameter selection and detection efficiency of the model by using the experimental simulation method. This article generates a reference background based on unsupervised learning methods, and uses a color space that has a better environmental adaptability to represent the background, and uses dynamic threshold method to classify the results of background subtraction and frame difference. By comparing experimental of different methods, it shows that this algorithm has a greater advantage in terms of accuracy and timeliness.

• Periodical: Advanced Materials Research (Volumes 1006-1007)
• Pages: 787-791
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.787
• Online since: August 2014
• Authors: Shu Ling Zhang, Zhi Hong Zhang
• Keywords: Real-Time Detection, Statistical Model, Video Target

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