Automatic Air-to-Ground Recognition of Outdoor Injured Human Targets Based on UAV Bimodal Information: The Explore Study

• Main Authors: Lei, T. (Author), Li, Z. (Author), Lu, G. (Author), Qi, F. (Author), Wang, J. (Author), Xia, J. (Author), Yan, Y. (Author), Zhang, L. (Author), Zhu, M. (Author)
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: air-to-ground search; bio-radar; human target; multispectral imagery
• Online Access: View Fulltext in Publisher

 The rapid air-to-ground search of injured people in the outdoor environment has been a hot spot and a great challenge for public safety and emergency rescue medicine. Its crucial difficulties lie in the fact that small-scale human targets possess a low target-background contrast to the complex outdoor environment background and the human attribute of the target is hard to verify. Therefore, an automatic recognition method based on UAV bimodal information is proposed in this paper. First, suspected targets were accurately detected and separated from the background based on multispectral feature information only. Immediately after, the bio-radar module would be released and would try to detect their corresponding physiological information for accurate re-identification of the human target property. Both the suspected human target detection experiments and human target property re-identification experiments show that our proposed method could effectively realize accurate identification of ground injured in outdoor environments, which is meaningful for the research of rapid search and rescue of injured people in the outdoor environment. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.