Paper
14 December 1998 Space activity: quantitative analysis and evaluation with experiments on the street
Kayoko Kitai
Author Affiliations +
Proceedings Volume 3641, Videometrics VI; (1998) https://doi.org/10.1117/12.333791
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
The purpose of this work is to quantitate and to evaluate the 'Space Activity.' The Space activity is a kind of quantitative evaluation of influence for moving objects and is evaluated comprehensively, which features are measured quantitatively as elements within the measurement space. In this paper, I present a sequence analysis system of the person's behavior on a vehicle-free promenade applying the space activity. This feature is called the 'covered angle.' The covered angle is defined as the angle covering the other objects which the observation point see. It shows the 'motion density' in the measurement area, the movement of the observer, the frequency of the visible area in the walking space and the visual experience of the observer. The sequence analysis system consists of two parts, the motion analysis and the space activity evaluation. In the first part, pedestrians are extracted from the motion images and tracked. In the second part, I measure each pedestrian's movement which is extracted from the first part, analyze pedestrian's moving behavior, the group behavior and the movement area using previously calculated features, and finally evaluate this space activity. The results are visualized graphs and quantitative images in 2D and 3D animations.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kayoko Kitai "Space activity: quantitative analysis and evaluation with experiments on the street", Proc. SPIE 3641, Videometrics VI, (14 December 1998); https://doi.org/10.1117/12.333791
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Cited by 2 scholarly publications.
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KEYWORDS
Motion analysis

Visualization

Quantitative analysis

Lithium

Motion measurement

3D image processing

Data modeling

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