Gilbreth’s early work laid the foundation for what we now call human activity recognition (HAR). HAR recognizes and observes agents' actions based on environmental conditions.

This means we can teach a computer to perceive human activity or recognize dangerous actions in real time. Since the active use of neural networks, multiperson pose estimation has also become viable.

Scientists Create Human-like AI Computer Vision New AI deep learning algorithm “sees the big picture” from only a few glances. Posted May 29, 2019 ...

Jiang will present the team's findings at the IEEE Conference on Computer Vision and Pattern Recognition 2009, ... (2009, June 22). Human Eye Inspires Advance In Computer Vision. ScienceDaily.

The design may also be useful for neuromorphic computing applications that operate on principles similar to the architecture of the human brain, said Ke Chen, a graduate student in Mei’s lab and lead ...

Advances in machine learning and neuroscience have helped make great strides in computer vision. But we still have a long way to go before we can build AI systems that see the world as we do.

Facial recognition technology, gesture-based computing and motion-tracking all fall under the computer vision umbrella - as this video of one PhD computer vision project demonstrates.

Computer vision has some technical challenges as well. It’s limited by hardware, including cameras and sensors. Additionally, computer vision systems are very complex to scale.