PreActo: Efficient Cross-Camera Object Tracking System in Video Analytics Edge Computing
Author:
Affiliation:
1. School of Computing, KAIST,Daejeon,South Korea
2. Nokia Bell Labs,Cambridge,UK
3. Netlight,Munich,Germany
Funder
Institute of Information & communications Technology Planning & Evaluation (IITP)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099036/10099057/10099298.pdf?arnumber=10099298
Reference41 articles.
1. Real-Time Video Analytics: The Killer App for Edge Computing
2. Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
3. The Emergence of Edge Computing
4. A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction
5. Collaborative Intelligent Cross-Camera Video Analytics at Edge
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1. TRACE: Transformer-based continuous tracking framework using IoT and MCS;Journal of Network and Computer Applications;2024-02
2. Analysis of Operation Algorithm for Intelligent Multi-Surveillance Image Sensors;2023 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob);2023-10-10
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