Abstract
In nowadays society, the safety of the elderly population is becoming a pressing concern, especially for those who live alone. There might be daily risks such as accidental falling or treatment attack on them. Aiming at these problems, indoor positioning could be a critical way to monitor their states. With the rapidly development of the imaging techniques, wearable and portable cameras are very popular, which could be set on human individual. And in view of the advantages of the visual positioning, the authors propose a binocular visual positioning algorithm to real-timely locate the elderly indoor. In this paper, the imaging model has been established with the corrected image data from the binocular camera; then feature extraction has been completed to provide reference to adjacent image matching based on the binary robust independent elementary feature (BRIEF) descriptor, finally the camera movement and the states of the elderly have been estimated to distinguish their falling risk. In the experiments, the real-sense D435i sensors were adopted as the binocular cameras to obtain indoor images, and three experimental scenarios have been carried out to test the proposed method. The results show that the proposed algorithm can effectively locate the elderly indoor and improve the real-time monitoring capability.
Highlights
Due to the decrease of the physical function of the elderly and the influence of various chronic diseases, it is of great social significance to improve the safety monitoring of their daily behaviors, especially for those who live alone
Indoor positioning technology with high accuracy and reliability can help to determine the individual position in real time
Given the needs to the accurate and real-time stereo matching of the indoor positioning for the elderly living alone, this paper contributes to propose a binocular positioning based on the feature point extraction algorithm that unconventionally uses the binary robust independent elementary feature (BRIEF) descriptor to construct the cost function to obtain accurate depth information
Summary
Due to the decrease of the physical function of the elderly and the influence of various chronic diseases, it is of great social significance to improve the safety monitoring of their daily behaviors, especially for those who live alone. The vision-based technology generally employs the camera to collect visual information, and the image processing algorithms are applied to achieve the indoor positioning. It is merit in low-cost, high accuracy, and robustness in complex environment, makings it popular in various fields. Given the needs to the accurate and real-time stereo matching of the indoor positioning for the elderly living alone, this paper contributes to propose a binocular positioning based on the feature point extraction algorithm that unconventionally uses the BRIEF descriptor to construct the cost function to obtain accurate depth information.
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