People detection and optional tracking with Tensorflow backend.

A really more real-time adaptation of deep sort

Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).

✌️ Detection and tracking hand from FPV: benchmarks and challenges on rehabilitation exercises dataset

Approaching Pedestrian Tracking problem on surveillance camera with YoloV5 for pedestrian detection and DeepSORT for tracking.

Implementation of various methods of single / multi object tracking 🐾🛰

Acquiring the demographic details such as Age and Gender of a person from a Surveillance Camera video using a custom trained CNN model.

This project implements a person detection and tracking system using YOLOv8 for real-time object detection, Deep SORT for object tracking, and OSNet for person re-identification. The model assigns unique IDs to each person and tracks them throughout the video, even after occlusion or re-entry into the frame.

Deep SORT + YOLOv3, Tensorflow, Keras, OpenCV

A fish viewer application that uses deep learning models to detect fish types and the length of fish using an image, video or a camera input.

This tracker is based on the use of a detector in the form of a YOLOv5s neural model and a tracking algorithm for tracking objects (DeepSORT).