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- W4366376698 abstract "In recent years, object tracking has become one of the hot topics in the field of computer vision. Video target tracking is an important research topic in computer vision, which has been widely used in video surveillance, robotics, human-computer interaction and so on. This paper mainly studies the computer video intelligent monitoring and tracking system based on GABP neural network algorithm. In this paper, genetic algorithm is used to optimize the problem that BP model is easy to fall into local extreme points. According to the needs of actual application scenarios, this paper uses the target tracking algorithm based on GABP neural network, and uses Django back-end framework and front-end development technology to build a set of video target tracking system. The experimental results show that the GABP neural network algorithm constructed in this paper is superior to the traditional model in video tracking performance." @default.
- W4366376698 created "2023-04-21" @default.
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- W4366376698 date "2023-02-24" @default.
- W4366376698 modified "2023-10-01" @default.
- W4366376698 title "Computer Video Intelligent Monitoring and Tracking System based on GABP Neural Network Algorithm" @default.
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- W4366376698 doi "https://doi.org/10.1109/icicacs57338.2023.10100071" @default.
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