Position Estimation of Pedestrians in Surveillance Video Using Face Detection and Simple Camera Calibration

Pedestrian position estimation in videos is an important technique for enhancing surveillance system applications. Although many studies estimate pedestrian positions by using human body detection, its usage is limited when the entire body expands outside of the field of view. Camera calibration is...

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Bibliographic Details
Published in2021 17th International Conference on Machine Vision and Applications (MVA) pp. 1 - 5
Main Authors Sato, Toshio, Qi, Xin, Yu, Keping, Wen, Zheng, Katsuyama, Yutaka, Sato, Takuro
Format Conference Proceeding
LanguageEnglish
Published MVA Organization 25.07.2021
Subjects
Calibration
Cameras
Estimation
Estimation error
Face detection
Machine vision
Surveillance
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Summary:Pedestrian position estimation in videos is an important technique for enhancing surveillance system applications. Although many studies estimate pedestrian positions by using human body detection, its usage is limited when the entire body expands outside of the field of view. Camera calibration is also important for realizing accurate position estimation. Most surveillance cameras are not adjusted, and it is necessary to establish a method for easy camera calibration after installation. In this paper, we propose an estimation method for pedestrian positions using face detection and anthropometric properties such as statistical face lengths. We also investigate a simple method for camera calibration that is suitable for actual uses. We evaluate the position estimation accuracy by using indoor surveillance videos.
DOI:10.23919/MVA51890.2021.9511348