arxivcs.CVcs.AIcs.MM2026-07-10
Event Stream based Multi-Modal Video Anomaly Detection: A Benchmark Dataset and Algorithms
Peipei Zhu, Yueqing Niu, Lin Zhu, Guanchong Niu, Yang Yu, Zheng Li
Video anomaly detection (VAD) is critical for automated surveillance but remains fragile under challenging conditions such as illumination variations, fast motion, and complex backgrounds when relying solely on visible light videos. To address these limitations, we propose EVAD,…