REVAMP$^2$T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking

Neff Christopher,Mendieta Matías,Mohan Shrey,Baharani Mohammadreza,Rogers Samuel,Tabkhi Hamed

IEEE Internet of Things Journal（2020）

引用 63|浏览6

暂无评分

摘要

This article presents real-time edge video analytics for multicamera privacy-aware pedestrian tracking (REVAMP2T), as an integrated end-to-end Internet of Things (IoT) system for privacy built-in decentralized situational awareness. REVAMP2T presents novel algorithmic and system constructs to push deep learning and video analytics next to IoT devices (i.e., video cameras). On the algorithm side, R...

查看译文

关键词

Privacy,Real-time systems,Visual analytics,Cameras,Image edge detection,Pipelines,Internet of Things

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要