Video surveillance using deep learning models
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Updated
Apr 2, 2018 - Python
Video surveillance using deep learning models
Python script using machine learning to classify images from IP cameras.
Hierarchical deep neural network for activity analysis of surveillance videos at individual, group and overall level.
Lightweight Video Surveillance System w/ ffmpeg, motion, and dual-stream cameras for use on Raspberry Pi
Surveillance Center is an open source, self-hosted, web-based video surveillance software.
Bridge images from an IP camera via FTP to an MQTT broker.
A smart surveillance system using CCTV Surveillance camera in order to detect hammers, weapons involved in a break in. This Surveillance system focuses on automation of Video Surveillance in ATM machines and detect any type of potential criminal activities. Technologies used open CV, Computer Vision
Decomposition into Low-Rank and Sparse Matrices in Computer Vision
Code for our paper titled "IoT Enabled Video surveillance system using Raspberry Pi." As the title suggests it's an IoT enabled, low-cost and extremely user friendly surveillance system implemented using the Raspberry Pi.
Contains home security/automation modules for motion detection and temperature alert (used Raspberry Pi Zero). Output trigger and module's setting could be configured from a computer software. Raspberry Pi Zero communicates through the TCP connection. The package keeps the log of motion detection and the temperature. It also has SMS alert features.
Linear Algebra project `Decomposition into Low-Rank and Sparse Matrices in Computer Vision` | Applied Sciences Faculty, UCU (2019)
Webcast video stream
The official repository of TeamGabru.
FgSegNet_v2: "Learning Multi-scale Features for Foreground Segmentation.” by Long Ang LIM and Hacer YALIM KELES
Unsupervised deep learning system for local anomaly event detection in crowded scenes
Open source software package, which aims to allow solving different tasks related to computer vision areas, like video surveillance, vision based automation/robotics, different sorts of image/video processing, etc.
REST API server to detect people in video files using TensorFlow Lite.
GCS for UAV
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