A Deep Learning Biomimetic Milky Way Compass.

Moving in straight lines is a behaviour that enables organisms to search for food, move away from threats, and ultimately seek suitable environments in which to survive and reproduce. This study explores a vision-based technique for detecting a change in heading direction using the Milky Way (MW), one of the navigational cues that are known to be used by night-active insects. An algorithm is proposed that combines the YOLOv8m-seg model and normalised second central moments to calculate the MW orientation angle.

Defining minimum work priorities in emergency general surgery in a national cohort.

Introduction: Emergency general surgery is typically delivered in addition to routine elective care. Models such as acute surgical assessment units and reduced elective working have been explored to reduce the conflict between these competing demands. We aim to identify the models used, the cohorts of patients seen, and the staffing levels in each system.

Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion.

Many species rely on celestial cues as a reliable guide for maintaining heading while navigating. In this paper, we propose a method that extracts the Milky Way (MW) shape as an orientation cue in low-light scenarios. We also tested the method on both real and synthetic images and demonstrate that the performance of the method appears to be accurate and reliable to motion blur that might be caused by rotational vibration and stabilisation artefacts.

Integrating RGB-thermal image sensors for non-contact automatic respiration rate monitoring.

Respiration rate (RR) holds significance as a human health indicator. Presently, the conventional RR monitoring system requires direct physical contact, which may cause discomfort and pain. Therefore, this paper proposes a non-contact RR monitoring system integrating RGB and thermal imaging through RGB-thermal image alignment.