Abstract
Over the last few decades, threats to urban safety have increased worldwide. Security solutions aim to detect, track, and identify people using many videos take by security cameras. Video is the most effective information for arresting criminals. Although the number of security camera installed and the opportunities to use them are increasing year by year, investigators manually collect data and analyze videos, which takes time and effort. Therefore, in recent years, a technique for identifying a person using AI has been desired. The purpose of this research is to develop a technique for accurately searching for a person from security cameras, utilizing the height and the size of belongings. The height of a person and the size of an object in the video can be measured based on the coordinates in the image if it is possible to acquire the camera parameters (external parameters such as installation position and installation angle, internal parameters representing optical camera characteristics). Previous research has proposed a method for estimating camera parameters, however, the method has not been evaluated for videos in a shooting conditions of security cameras. Therefore, the purpose of this study is to improve the conventional method by using videos that meets the shooting conditions of security camera from the viewpoint of the depression angle of camera and number of people shown in the video.
