Automated surveillance is going to become increasingly common as companies and researchers find new ways to use machine learning to analyze live video footage. A new project from scientists in the UK and India shows one possible use for this technology: identifying violent behavior in crowds with the help of camera-equipped drones.
In a paper titled “Eye in the Sky,” the researchers describe their system. It uses a simple Parrot AR quadcopter (which costs around $200) to transmit video footage over a mobile internet connection for real-time analysis. An algorithm trained using deep learning estimates the poses of humans in the video and matches them to postures the researchers have designated as “violent.” For the purposes of the project, just five poses are included: strangling, punching, kicking, shooting, and stabbing.
The scientists hope that systems like theirs will be used to detect crime in public spaces and