Academic literature on the topic 'Aerial videography ; Search and rescue operations ; Robotics'

Purpose – This paper aims to discuss search and rescue (SAR) and disaster relief robot developments, trials and applications and to answer the question posed in the title. Design/methodology/approach – Following a short introduction, this first describes Integrated Components for Assisted Rescue and Unmanned Search operations, a recent, collaborative, European research project, and euRathlon, a major robotics competition. It then highlights the role of the centre for robot-assisted search and rescue, and provides examples of the deployment of terrestrial, marine and airborne robots in real SAR and disaster relief situations. It concludes with a brief discussion. Findings – This shows that SAR and disaster relief robots are the topic of an extensive development effort, and many have performed well in simulated disaster scenarios. Terrestrial, marine and airborne robots have been used in many real disaster relief situations since 2001, and the use of unmanned aerial vehicles has proliferated due to recent technological developments. Robots now play an important role in supporting SAR teams, and this will certainly increase as the technologies are developed further. Originality/value – In an era characterized by extreme weather events and continuing military conflicts, robots play an increasingly important role in supporting human disaster response teams. This article provides details of developments, trials and real-world deployments of such robots.

There has been great interest in the use of small robotic helicopter vehicles over the last few years. Although there are regulatory issues involved in flying these that are still to be solved, they have the potential to provide a practical mobile aerial platform for a small fraction of the cost of a conventional manned helicopter. One potential class of applications for these is in searching for people, and this thesis explores a new generation of cameras which are suitable for this purpose. We propose HeatTrack, a novel algorithm to detect and track people in aerial imagery taken from a combined infrared/visible camera rig. A Local Binary Patterns (LBP) detector finds silhouettes in the infrared image which are used guide the search in the visible light image, and a Kalman filter combines information from both modalities in order to track a person more accurately than if only a single modality were available. We introduce a method for matching the thermal signature of a person to their corresponding patch in the visible modality, and show that this is more accurate than traditional homography-based matching. Furthermore, we propose a method for cancelling out camera motion which allows us to estimate a velocity for the person, and this helps in determining the location of a person in subsequent frames. HeatTrack demonstrates several advantages over tracking in the visible domain only, particularly in cases where the person shows up clearly in infrared. By narrowing down the search to the warmer parts of a scene, the detection of a person is faster than if the whole image were searched. The use of two imaging modalities instead of one makes the system more robust to occlusion; this, in combination with estimation of the velocity of a person, enables tracking even when information is lacking in either modality. To the best of our knowledge, this is the first published algorithm for tracking people in aerial imagery using a combined infrared/visible camera setup.