awesome-multi-camera-network
github.com/jason-cs18/awesome-multi-camera-network ↗Multi-camera Network research resources
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me courses resources from awesome-multi-camera-network"
Installation instructions →What's inside
Researchers, Workshops and Courses
- 706.550: Architecture of ML Systems (Summer 2021, Graz University of Technology)Courses
the architecture and essential concepts of modern ML systems for both local and large-scale machine learning (based on non-deep ML analytics)
- Amit K. Roy-Chowdhury (UC Riverside, USA)Researchers (organization and research interests)
tracking, reID, super-resolution and domain adaptation
- Andrea Cavallaro (Queen Mary University of London, UK)Researchers (organization and research interests)
multi-modal fusion,
- Arun Kumar (University of California San Diego, USA)Researchers (organization and research interests)
data management and deep learning based data analytics
- COS 598a: Machine Learning-Driven Video Systems (Spring 2022, Princeton)Courses
target to recent research interests on video analytics (
- CS231A: Computer Vision, From 3D Reconstruction to Recognition (Winter 2021, Stanford)Courses
focus on basic concepts behind many computer vision tasks across multi-camera networks (camera models, calibration, single- and multiple-view geometry, stereo systems, sfm, stereo, matching, depth estimation, optical flow and optimal estimation)
Topics
- A Dive into Privacy Preserving Machine Learning (OpML'20)System
todo
- CrypTen (Facebook AI Research)System
Privacy Preserving Machine Learning framework, PyTorch, Multi-Party Computation (MPC)
- The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21)System
todo
- Tutorial on privacy-preserving data analysis (The Alan Turing Institute)System
todo
Dataset
Book and Survey
- Camera Networks: The Acquisition and Analysis of Videos over Wide Areas (Synthesis Lectures on Computer Vision). 2012.
- Multi-Camera Networks: Principles and Applications. 2005.
- M.Valera et al. Intelligent distributed surveillance systems: a review. 2005.
- Wang et al. Intelligent multi-camera video surveillance: a review. 2012.
- Ye et al. Wireless Video Surveillance: A Survey. 2013.
- Zhang et al. Deep Learning in Mobile and Wireless Networking: A Survey. IEEE TRANS 2019.
Outline
Showing a sample of 52 resources. View the full list on GitHub →