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 ...

This project aims to develop a robust object tracking system capable of detecting and tracking multiple moving objects (such as cars, people, and other entities) across video frames in real-time. The ...

Abstract: 3D single object tracking (SOT) based on point cloud has attracted much attention due to its important role in machine vision and autonomous driving. Recently, M 2-Track proposes a two-stage ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...