Recently, there has been an ongoing research on modernizing tactical systems in the military field.
<br>As a result, personal tactical systems using HMDs, Oculus, night vision equipment, etc. are being de veloped, but there is a limitation that it is difficult for the soldier to recognize and correct the aiming direction of the weapon after wearing the observation equipment. Therefore, there is a need for a meth od to verify and calibrate the aiming point of the soldier from the observation equipment worn. In this paper, we propose an aiming point display method that uses an IMU sensor and a camera to display the aiming point of a rifle on an image taken from the soldier's perspective. The proposed method uses posture-based interest area extraction, feature point matching, stable transformation matrix estimation, and image matching to propose a fast and accurate aiming point display method. Through experiments, the accuracy and processing speed were compared and analyzed with the feature point matching-based method, and the processing speed based on 1920×1080 and 1080×720 RGB images was 31.67 fps and the success rate was 0.83, confirming the fast and accurate aiming point display performance of the proposed method.
