Search Results for author: Leonardo Saraceni

Found 3 papers, 1 papers with code

AgriSORT: A Simple Online Real-time Tracking-by-Detection framework for robotics in precision agriculture

1 code implementation23 Sep 2023 Leonardo Saraceni, Ionut M. Motoi, Daniele Nardi, Thomas A. Ciarfuglia

The problem of multi-object tracking (MOT) consists in detecting and tracking all the objects in a video sequence while keeping a unique identifier for each object.

Multi-Object Tracking

Weakly and Semi-Supervised Detection, Segmentation and Tracking of Table Grapes with Limited and Noisy Data

no code implementations27 Aug 2022 Thomas A. Ciarfuglia, Ionut M. Motoi, Leonardo Saraceni, Mulham Fawakherji, Alberto Sanfeliu, Daniele Nardi

To improve detection and segmentation on the target data, we propose to train the segmentation algorithm with a weak bounding box label, while for tracking we leverage 3D Structure from Motion algorithms to generate new labels from already labelled samples.

Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.