University of Washington electrical engineers have developed a way to automatically track people across moving and still cameras by using an algorithm that trains the networked cameras to learn one another’s differences. The cameras first identify a person in a video frame then follow that same person across multiple camera views.
With the new technology, a car with a mounted camera could take video of a scene, then identify and track humans and overlay them into the virtual 3D map on a GPS screen. The researchers are developing this to work in real time, which could help track a specific person who is dodging the police.
The team also installed the tracking system on cameras placed inside a robot and a flying drone, allowing the robot and drone to follow a person, even when the instruments came across obstacles that blocked the person from view.