TeCSAR-UNCC

New VQ-VAD framework uses discrete motion for video anomaly detection

Researchers have developed VQ-VAD, a new framework for human-centric video anomaly detection that learns discrete motion representations. This approach adapts Vector-Quantized GAN (VQ-GAN) to create a codebook of normal…