System is abke to analyze chaotic video footage with high accuracy
A new AI capable of recognizing complex visual data has been developed
SMAST can learn and predict complex human actions
The tool could be used in surveillance, healthcare, and autonomous driving, researchers say
Researchers at the University of Virginia’s School of Engineering and Applied Science have taken AI’s visual data capabilities a step further with their latest innovation – an AI-driven video analyzer called the Semantic and Motion-Aware Spatiotemporal Transformer Network (SMAST).
This system offers precision in detecting human actions, promising applications in areas like public safety, motion tracking, and even autonomous vehicle navigation.
At the heart of SMAST’s capabilities is its ability to process complex video footage by focusing on the most relevant parts of a scene.A new AI tool for video analysis
The system integrates a multi-feature selective attention model and a motion-aware 2D positional encoding algorithm.
