Single-photon sensitive depth sensors are being increasingly used in next generation electronics for human pose and gesture recognition. However, cost-effective sensors typically have a low spatial resolution, restricting their use to basic motion identification and simple object detection. Here we perform a temporal to spatial mapping that drastically increases the resolution of a simple time-of-flight sensor, i.e. an initial resolution of 4×4 pixels to depth images of resolution 32xpixels. The output depth maps can then be used for accurate three-dimensional human pose estimation of multiple people.

Read more about our work on pose estimation: Real-time, low-cost multi-person 3D pose estimation