Object tracking is a crucial task in computer vision and has numerous applications in various fields, such as security and surveillance, traffic monitoring, and autonomous vehicles. YOLOv5 is a ...

This code implements a SORT-based object tracking algorithm for monocular camera sensors. It has been tested against KITTI object tracking benchmark achieving a HOTA score of 58.

This paper proposes a moving object detection and tracking framework based on YOLOv8 model and improved OC-SORT algorithm. First, the performance of YOLOv8 models of various sizes in detecting objects ...

To solve this problem, an improved SORT algorithm is proposed to detect and track objects thrown from a high building. First, an adaptive Gaussian mixture background model is used to detect falling ...

Known as sorting algorithms, they are one of the workhorses of computation, used to organise data by alphabetising words or ranking numbers from smallest to largest. Many different sorting ...