One of the most important challenges in machine learning with videos is to track multiple objects across frames. The algorithms need to work in real-time while still being able to handle complex ...

This repository contains a two-stage-tracker. The detections generated by YOLOv5, a family of object detection architectures and models pretrained on the COCO dataset, are passed to a Deep Sort ...

This repository contains my object detection and tracking projects. All of these can be hosted on a cloud server. You can also use your own IP cameras with asynchronous processing thanks to ImageZMQ.

Multiple object tracking (MOT), a key task in image recognition, poses a persistent challenge in balancing processing speed and tracking accuracy. This study presents a novel approach that leverages ...

Abstract: Kalman filter (KF) based methods for multi-object tracking (MOT) make an assumption that objects move linearly. While this assumption is acceptable for very short periods of occlusion, ...

Abstract: Multi-object tracking (MOT) plays a pivotal role in the field of autonomous driving, where the objective is to track multiple objects across consecutive video frames while maintaining their ...