New algorithm improves speed and accuracy of pedestrian detection; cascade detection + deep learning

Researchers at the University of California, San Diego have developed a pedestrian detection system that performs in near real-time (2-4 frames per second) and with higher accuracy (close to half the error) compared to existing systems. We’re aiming to build computer vision systems that will help computers better understand the

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