Real-Time Video AI refers to artificial intelligence systems that process and analyze video streams instantly or with minimal latency as data is captured. It uses techniques such as computer vision, deep learning, and edge computing to perform tasks like object detection, tracking, activity recognition, and anomaly detection. These systems are deployed in applications such as surveillance, autonomous systems, smart cities, and industrial monitoring, where immediate insights and rapid decision-making are required.
State-of-the-art video models are accurate but too slow for live deployment. This work transfers their knowledge into causal streaming models that process video frames in real time, achieving 4x lower latency with competitive accuracy across action detection and pedestrian intent tasks.
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