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Moving Vehicle Tracking Optimization Method Based on SPF by Lv, Caixia; Zhang, Xuejing; Lv, Zhihan is a Physics and Astronomy article available to read on EtoBox.
What is Moving Vehicle Tracking Optimization Method Based on SPF about?
In the intelligent transportation system, the license information can be automatically recognized by the computer and the vehicle can be tracked. Red light running, illegal change of lanes, vehicle retrograde, and other illegal driving events are reasonably recorded. This is undoubtedly an effective help for the traffic police to relieve the huge work pressure. However, in China, a considerable number of vehicle tracking methods have certain limitations in resisting complex external environmental influences. The external environmental factors include but not limited to variable factors such as camera movement, jitter, and severe rain and snow. These factors cannot be controlled well, so the tracking accuracy is greatly reduced. In regard to this, this paper proposes an optimization method for moving vehicle tracking based on SPF. First, according to the size of the overlapping area of the motion area between the two images, the researcher can construct and simplify the vertex adjacency matrix that reflects the characteristics of the undirected bipartite graph. Then according to the corresponding relationship between the vertex adjacency matrix and the regional behavior and vehicle
Who reads Moving Vehicle Tracking Optimization Method Based on SPF?
It is typically read by researchers, students, and practitioners in Physics and Astronomy.
- Author
- Lv, Caixia; Zhang, Xuejing; Lv, Zhihan
- Publisher
- John Wiley and Sons; Hindawi Limited; Wiley (ISSN 1076-2787)
- Published
- 2020
- Language
- EN
- Field
- Physics and Astronomy (Physical Sciences)