Abstract
Thermal sensors have been widely applied for human targets in battlefield surveillance and smart housing. A low-resolution thermopile sensor—GridEye is used to localize and track indoor multiple human targets. Interpolation is introduced to increase the resolution of sensor data and Gaussian filter is designed to smooth the data. An adaptive threshold method is designed to remove non-human thermal targets and background image. The human targets are located by considering the space deployment and the viewing angle effect of GridEye. Depending on target positions and the heat signatures of human targets, the targets are associated with their respective trajectories. The experimental results have shown that multiple humans can be tracked well in the indoor environment.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
