Multi Camera Face Detection and Recognition with Tracking

facenet-pytorch + DeepSORT

Face tracking based on DeepSort algorithm for Linux

Face tracking based on DeepSort algorithm for Windows

Face Tracker using Yolov3, Arcface, Deepsort

2023 IEEE World AI IoT: Multi-Camera Face Detection and Recognition in Unconstrained Environment

implement multi faces tracker using DeepSORT

Detecting faces in surveillance cameras using Yolov5 for detection and DeepSORT for tracking purposes.

In this present world where a great pandemic is going on which is spreading rapidly from one man to another man at present more than 88,668,711 people are currently infected and including 1,884,341 deaths the of the infection is increasing day by day the infected rate is increasing .In average .. people are effected by this virous and many well developed countries like USA, England are facing huge problems to maintain the infected rete in control. But matter to be noted that developing countries like Bangladesh ,India, Pakistan where the population is far more than the developed country where people live by day to day earning, It is not quaite possible to keep people inside their house. Keeping those thing in our mind we tried to developed a surveillance system that are trained in image using effective algorithm like YOLOv4 ,mobilenetV2,YOLO-tiny(ligh weight also mobile detection supported) with mask , with out mask ,gloves on face shield and PPE(personal protective equivalents ) monitor general people in public places also notify not only that also count the actual detection and take picture of those people who is not wearing mask properly or on mask at all we also use deepsort method to count the the actual number of the detection and store it in for farther statistical analysis

Single-camera CCTV person tracking + re-identification prototype using YOLO detection, DeepSORT tracking, and a face/body embedding identity gallery. Outputs annotated video plus audit logs (events.jsonl, tracks.csv) proving re-entry identity continuity.

Open-Source custom Face and Eye object tracking using YOLOv4 + DeepSort on TensorFlow.

Deepstream application that performs face detection using retinanet and multi object tracking using deepsort

Re-identifies football players across frames using YOLO for detection, DeepSORT for tracking, and feature matching for consistent IDs. Handles occlusion, similar jerseys, and camera shifts using jersey number OCR, appearance embeddings, and optional face recognition for robust tracking

AI-powered worker efficiency monitoring system built using TensorFlow.js, OpenCV.js, DeepSORT, MediaPipe Pose, face-api.js, MongoDB, and a Node.js/JS-based behaviour engine. The system detects workers, tracks their movements, identifies actions, logs events, and calculates real-time productivity and idle time, displayed on a dashboard.

Face_detection_deepsort

使用yolov5，deepsort, insightface 检测视频中出现的人以及识别人脸进行抓拍

Face Mask Detection Yolov7 Deep sort Inference Video

Face Mask Detection with DeepSORT and Darknet YOLOv3

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Batch video face tracker that detects, recognizes, and counts unique visitors using YOLOv8, InsightFace, and DeepSORT — with persistent SQLite logging and cross-video re-identification.

Python code run MNN face detection and tracking using DeepSort

Automated face tracking using YOLOv8 and DeepSORT with keyword-based video scraping and fallback handling

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Real-time anomaly detection system with YOLOv8, DeepSORT, Face Recognition, and Streamlit UI

End-to-end AI-based face detection, tracking and attendance system using YOLOv8, DeepSORT and FaceNet.

Intelligent Face Tracker for real-time video/RTSP streams with YOLO detection, DeepSort tracking, structured entry/exit logging, cropped face images, SQLite metadata storage, and optional annotated output.

Real-time AI CCTV system using YOLOv8, DeepSORT and MobileNet to detect face mask violations with alerts, snapshots and audit dashboard.