Tracking and counting Object in video streams is a crucial task in computer vision. This project leverages YOLOv8 for object detection and the Supervision library for line-based counting to build a ...
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 ...
THT-Net: A Novel Object Tracking Model Based on Global-Local Transformer Hashing and Tensor Analysis
Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...
Abstract: Object tracking in UAV imagery is challenging due to occlusions, scale variations, and frequent object disappearance. YOLO-based detection lacks temporal consistency, resulting in ID ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results