Ben Caunt, from Warm Automation, has showcased his new open-source project that allows robots to detect and track objects in ...

To address this gap, this study proposes a vision-guided object tracking framework for USVs, integrating state-of-the-art tracking algorithms with low-level control systems to enable precise tracking ...

YOLO is a popular one-stage object detection model known for its speed and accuracy. It processes images in real-time, making it suitable for applications requiring quick detection. EfficientDet is ...

Abstract: Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are ...

BAM-SORT: A state-of-the-art multi-object tracking algorithm using bottom edge cost matrix and activated trajectory matching for robust tracking in crowded and occlusion-heavy environments. Excelling ...

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Most cell tracking algorithms are largely based on our prior knowledge of ... This process critically depends on the fidelity of object detection, and methods to construct a hypothesis graph that can ...

Then a real-time detection model of maize plants was trained based on the object detection model YOLOV5. Finally, the tracking and counting method of maize plants was realized through Hungarian ...