people-counter
There are 27 repositories under people-counter topic.
GeekAlexis / FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Language:Python 1156- Multi-Camera-Live-Object-Tracking
LeonLok / Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
Language:Python 979 saimj7 / People-Counting-in-Real-Time
People Counting in Real-Time with an IP camera.
Language:Python 534WatershedArts / Footfall
Application that allows you to monitor the traffic in and out of your building, using the RPi Camera and openFrameworks
Language:C++ 332- Language:C++ 150
brian-yu / pedestrian-cam
Monitoring Foot Traffic over IP Webcams with ML
Language:Jupyter Notebook 117JardinRyu / Jetson_Nano_People_Counting
MobileNetV1-SSD + SORT based Real-Time Tracking and Counting on Jetson Nano
Language:Python 111Andrea-Fox / peopleCounter
Code for a cheap people counter based on VL53L1X sensor and ESP32/8266
Language:C++ 96darpan-jain / crowd-counting-using-tensorflow
Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.
Language:Python 89habom2310 / People-tracking-with-Age-and-Gender-detection
A combination between people tracking and age and gender detection
Language:Python 89databat-io / sonar
Google Analytics for the real world.
Language:JavaScript 74koba / overhead-camera-people-counter
People counting algorithm using an overhead video camera
Language:C++ 65Social distance monitoring in real-time with an IP camera. Optimized for better performance with threading.
Language:Python 59akshun4 / People-Counter
Counts number of people passing through a user-generated Region of Interest
Language:Python 44chs74515 / PeopleCounter
In present days, people detection, tracking and counting is an important aspect in the video investigation and subjection demand in Computer Vision Systems. Providing (real time) traffic information will help improve and reduce pedestrian and vehicle traffic, especially when the data collected is learned and analyzed over a period of time, which makes its highly essential to identify people, vehicles and objects in general and also accurately counting the number of people and/or vehicles entering and leaving a particular location in real time. To perform people counting, a robust and efficient system is needed. This research is aimed at making a pedestrian traffic reporting system for certain areas and buildings around the campus to potentially help ease traffic circulation. Providing this information will be done through a developed application, which includes image processing with Open Computer Vision (OpenCV). This will show the amount of traffic in certain buildings or area over a period of time. OpenCV is a cross-platform library which can be used to develop real-time Computer Vision applications [Opencv, 2015b]. It is mainly focused on image processing, video capture and analysis including features like people and object detection. The operations performed were based on the performance and accuracy of the tracking algorithms when implemented in embedded devices such as the Raspberry Pi and the Tinker Board. The Pi Camera was used for real time vision and hosted on the embedded device. The proposed method used was conjoined with an open-source visual tracking implementation from the contribution branch of the OpenCV library and a unique technique for people detection along with different Filtering Algorithms for tracking this. The programming language of choice to implement these features (Tracking and Detection) is python and its libraries. The present work describes a standalone people counting application designed using Python OpenCV and tested on embedded devices ranging from the Raspberry Pi3 to a Tinker Board and a compatible Camera. All these were used in prototyping the design of this application. The results reported and showed that the Person-Counter system developed counted the number of people entering the designated area (down), and the number of people leaving (up).
Language:Python 40PEOPLE-INSIDE / people-inside
A Real-Time People Counting Algorithm using Ultrasonic Sensors
Language:Arduino 34SmitSheth / People-Counter
This project counts number of people coming in and going out of structures such as building, stores,etc. based on tripline crossing.
Language:C 30Rishit-dagli / People-Counter-On-Edge
Low latency resilient people detection and counting for edge devices
Language:JavaScript 23prateeksawhney97 / People-Counter-Application-Using-Intel-OpenVINO-Toolkit
The people counter application demonstrates how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count. This project is a part of Intel Edge AI for IOT Developers Nanodegree program by udacity.
Language:JavaScript 21C3n7ral051nt4g3ncy / PCT
People Count Tool (PCT)
Language:Python 20nddbk / people-detecting
Detect people from video/camera using OpenCV
Language:Python 20texano00 / covid19-people-counter-system
covid19-people-counter-system is a plug&play system to setup a real-time queue lenght counter in less then 5 minutes
Language:TypeScript 18- Language:Python 15
denilgabani / people-counter-app
People counter app is used for monitoring people at specific area.
Language:JavaScript 14tharakarehan / people-counter
A human detection, tracking and counting system built using deep learning based computer vision.
Language:Python 12nullbyte91 / openvino-people_counter_IoT_app
Smart video IoT solution using Intel® hardware and software tools
Language:Python 11- Language:Python 10
yas-sim / openvino-people-detection-sample
OpenVINO Python sample program - Face detection, People detection, Age/gender estimation, Pose estimation
Language:Python 10fulankun1412 / People-Counting-OpenCV-Object-Detection
People Counter Based on Pyimagesearch Source Code with modified for Export to Excel File
Language:Jupyter Notebook 9Rahul24-06 / udacity-people-counter
Investigate different pre-trained models for person detection, and detect the number of people in the frame, and the time spent there. https://youtu.be/PxbYqBZgbQE
Language:Python 9danielelic / people-counting-algorithms
WaterFilling and Multi Level Segmentation algorithms for people counting systems using RGB-D data
Language:C++ 8- Language:Python 7
mattdibi / PassengerCounter
Development of an hardware accelerated pattern recognition image processing system.
Language:C++ 7TruongNguyen5395 / iwr1642application
Application on Door counter using the mmWave FMCW IWR1642
Language:JavaScript 7agurod42 / wifi-probe-request-devices-counter
Devices counting algorithm using Wi-Fi Probe Requests in a wireless network
Language:C++ 6
