ambakick/Person-Detection-and-Tracking
A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
This project helps security personnel and business owners monitor foot traffic by taking live video feeds and identifying each person with a unique ID. It outputs a video stream where every individual is highlighted with a bounding box and a persistent identification number, even if they are briefly out of view. This system is designed for anyone needing to track individuals through an area, like in retail stores or public spaces.
252 stars. No commits in the last 6 months.
Use this if you need to count, track, or analyze the movement of people in video surveillance footage, especially in real-time or near real-time scenarios.
Not ideal if your primary goal is to identify individuals by name or require accurate tracking through significant, prolonged obstructions.
Stars
252
Forks
82
Language
Python
License
MIT
Category
Last pushed
Dec 07, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/ambakick/Person-Detection-and-Tracking"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
IBM/MAX-Object-Detector
Localize and identify multiple objects in a single image.
LSH9832/edgeyolo
an edge-real-time anchor-free object detector with decent performance
stephanecharette/DarkMark
Marking up images for use with Darknet.
amdegroot/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
aditya-vora/FCHD-Fully-Convolutional-Head-Detector
Code for FCHD - A fast and accurate head detector