Research On Euler Video Respiration Rate Detection Method Against UAV Slosh

Search and rescue operations play a vital role in any affected area.Rescuers and robots are usually used for search and rescue.But drones can be used as an alternative because they have the dual advantages of mobility and height over humans and ground robots.The study found that the drone can not only search for the location of the disaster victims,but also use the drone to collect images for the detection of human respiration,so as to judge the survival state of people.However,the slosh of UAV itself has a great influence on the detection results,and because of the uncertainty and complexity of the slosh of UAV,the traditional filter is difficult to remove the slosh interference accurately and adaptively.Therefore,it is of theoretical and practical significance to study how to accurately remove the influence of UAV shaking for accurately measuring the respiratory rate of human body to be measured in the video.In view of the above problems,this paper has done the following work:(1)Aiming at the problem of the error caused by the shaking of UAV on the extraction of vital signs from the vision sensor,this paper proposes a detection method of antishaking respiration rate of UAV based on variational mode decomposition.Firstly,the initial characteristics of respiratory rate were extracted by complex controllable pyramid.Secondly,an extraction method of respiratory signals based on variational mode decomposition was designed to obtain candidate respiratory modal signals.Finally,the intrinsic mode with the minimum variance was selected to detect respiratory rate.The experimental results in this paper show that the method in this paper can effectively extract respiratory signals at different distances from human body to the UAV and different postures when the UAV itself is shaking normally.(2)Aiming at the modal mixing problem caused by the empirical mode decomposition caused by the intermittent sloshing of UAV,this paper proposes a respiratory rate detection method against the intermittent sloshing of UAV.This method is different from the variational modal decomposition method mentioned above mainly in the following aspects: the empirical mode decomposition method based on analytical mode decomposition is used to eliminate the mode mixing,and then the human breathing and UAV shaking waveforms are separated.The experimental results show that this method can detect the respiratory rate of Euler video under the condition of intermittent shaking of UAV.To test method,the performance of different in unmanned aerial vehicle(uav)shaking,the human body and unmanned aerial vehicle(uav)under the condition of different distance,body posture,respectively,for the following experiments: experiment using a cell phone for a minute,during every rings fixed number of seconds,at the same time record the breath frequency,compared with the method as a reference,verify the accuracy of the method to extract the breathing rate results in this paper.Then,the proposed method is compared with Ali Al-Naji 2020 UAV video respiratory rate detection method,which can effectively verify the detection effect of the proposed method on human respiratory rate in the case of UAV shaking.