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- W580896065 abstract "Image processing is an important technology to collect real-time traffic data in intelligent transportation system. This paper implements an approach for detecting traffic parameters by means of feature-based reasoning on visual data, and tries to track and classify traffic objects with predefined features. An adaptive Kalman prediction algorithm is presented to improve the prediction accuracy of location, and is compared with standard Kalman Predictor algorithm on computation complexity. Simulated experimental and factual experimental results are also shown to demonstrate the effectiveness of the proposed algorithm." @default.
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- W580896065 date "2005-01-01" @default.
- W580896065 modified "2023-09-23" @default.
- W580896065 title "Using Adaptive Kalman Predictor to Improve the Performance of Image-Based Traffic Monitoring System" @default.
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