新闻
Strictly Causal Streaming Video Anomaly Detection with a Theoretically-Grounded State-Space Core
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- A strictly causal video anomaly detector using state-space models processes frames in O(1) time with no buffering, achieving over 1300 FPS on edge hardware.
- 为何重要
- Engineers building real-time surveillance or monitoring systems on resource-constrained devices need low-latency anomaly detection without frame buffering delays.
- 注意
- Accuracy trails non-causal baselines on smaller datasets, and the method is validated only on two benchmarks with acknowledged plans for larger dataset evaluation.
收听本摘要
- throughput
- latency
- edge
- benchmark
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