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Complementing Vehicle Trajectories Using Two Camera Viewpoints.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Complementing Vehicle Trajectories Using Two Camera Viewpoints./
作者:	Nakano, Katsuaki.
面頁冊數:	1 online resource (25 pages)
附註:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
標題:	Engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9798383169858

Complementing Vehicle Trajectories Using Two Camera Viewpoints.
Nakano, Katsuaki.

Complementing Vehicle Trajectories Using Two Camera Viewpoints. - 1 online resource (25 pages)

Source: Masters Abstracts International, Volume: 85-12.

Thesis (M.S.)--Rochester Institute of Technology, 2024.

Includes bibliographical references

Traffic volume surveying is a crucial activity to get traffic statistics for road management and traffic congestion control. In recent years, the target environment of traffic volume surveying has become more complex, such as the fully automated surveillance of many-way intersections. Further compounding this complexity, some local governments may not be able to install a camera at a high enough elevation to capture the entire intersection due to environmental, legal, safety, or cost restrictions. Therefore, bigger objects such as buses and trucks often occlude other vehicles in the captured image. This occlusion degrades the accuracy of counting and is one of the main problems that makes the automation of traffic counting at intersections difficult. In this work, I propose a Bird's-Eye View (BEV) transformation method capable of 1) removing camera distortion created by wide-angle cameras installed at lower elevations (a common scenario in traffic volume surveys), and 2) utilizing multiple viewpoints to complement object trajectories to reduce accuracy loss caused by occlusion. Furthermore, I evaluate the effectiveness of the proposed method using real-world traffic survey data collected at an intersection in Japan.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798383169858Subjects--Topical Terms:

561152
Engineering.
Subjects--Index Terms:

Computer visionIndex Terms--Genre/Form:

554714
Electronic books.

Complementing Vehicle Trajectories Using Two Camera Viewpoints.
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520 $a Traffic volume surveying is a crucial activity to get traffic statistics for road management and traffic congestion control. In recent years, the target environment of traffic volume surveying has become more complex, such as the fully automated surveillance of many-way intersections. Further compounding this complexity, some local governments may not be able to install a camera at a high enough elevation to capture the entire intersection due to environmental, legal, safety, or cost restrictions. Therefore, bigger objects such as buses and trucks often occlude other vehicles in the captured image. This occlusion degrades the accuracy of counting and is one of the main problems that makes the automation of traffic counting at intersections difficult. In this work, I propose a Bird's-Eye View (BEV) transformation method capable of 1) removing camera distortion created by wide-angle cameras installed at lower elevations (a common scenario in traffic volume surveys), and 2) utilizing multiple viewpoints to complement object trajectories to reduce accuracy loss caused by occlusion. Furthermore, I evaluate the effectiveness of the proposed method using real-world traffic survey data collected at an intersection in Japan.
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