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.
Monitoring vehicles and pedestrians is crucial for traffic analysis, road safety, and smart city applications. This project integrates YOLOv8 for fast object detection, DeepSORT for robust ...
Abstract: Compared with real-time multi-object tracking (MOT), offline multi-object tracking (OMOT) has the advantages to perform 2D-3D detection fusion, erroneous link correction, and full track ...
Abstract: Multi-drone single object tracking is a key technology in Internet of Things-based aerial sensing systems. However, existing methods often neglect both temporal continuity of the object ...
Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results