Image Reconstruction method for Human Shape Detection Using One-Dimensional Brightness Distribution Sensor

Abstract

In this study, a detection of human shape with privacy-preserving by image reconstruction has been developed. In theory, the sensor can be constructed with a line sensor and cylindrical lens because only a one-dimensional brightness distribution is needed. The proposed sensor obtains a one-dimensional horizontal brightness distribution that is approximately equal to the integration value of each vertical pixel line of the two-dimensional image. We can recognize the human shape by change of the one-dimensional distribution. However, it's difficult to grasp it without the technical knowledge of the proposed system for average person from the distribution. For that reason, the image of human shape is reconstructed by two distributions, although it is impossible to restore the two-dimensional detail texture image correctly. Thus, the privacy is protected. Moreover, the appearance of the proposed sensor is very different from the conventional video camera, so the psychological resistance of having a picture taken is reduced. In this work, we reconstructed the image using one-dimensional brightness distribution obtained by the privacy-preserving sensor, and verified whether a person's shape was able to be detected. The simulation results show that the proposed sensor can detect a present person's state responsively without violating privacy.