公开(公告)号：US20240386579A1

公开(公告)日：2024-11-21

申请号：US18616830

申请日：2024-03-26

Applicant: Axis AB

Inventor： Niclas DANIELSSON ,  Christian Colliander ,  Amanda Nilsson ,  Sarah Laross

IPC: G06T7/215 ,  G06T7/246 ,  G06V10/25 ,  G06V10/40

Abstract: A method for prioritizing feature extraction for object re-identification in an object tracking application. Region of interests (ROI) for object feature extraction is determined based on motion areas in the image frame. Each object detected in an image frame and which is at least partly overlapping with a ROI is associated with the ROI. A list of candidate objects for feature extraction is determined by, for each ROI associated with two or more objects: adding each object of the two or more objects that is not overlapping with any of the other objects among the two or more objects with more than a threshold amount. From the list of candidate objects, at least one object is selected, and image data of the image frame depicting the selected object is used for determining a feature vector for the selected object.

公开(公告)号：US12293529B2

公开(公告)日：2025-05-06

申请号：US18616830

申请日：2024-03-26

Applicant: Axis AB

Inventor： Niclas Danielsson ,  Christian Colliander ,  Amanda Nilsson ,  Sarah Laross

IPC: G06V10/40 ,  G06T7/215 ,  G06T7/246 ,  G06V10/25

Abstract: A method for prioritizing feature extraction for object re-identification in an object tracking application. Region of interests (ROI) for object feature extraction is determined based on motion areas in the image frame. Each object detected in an image frame and which is at least partly overlapping with a ROI is associated with the ROI. A list of candidate objects for feature extraction is determined by, for each ROI associated with two or more objects: adding each object of the two or more objects that is not overlapping with any of the other objects among the two or more objects with more than a threshold amount. From the list of candidate objects, at least one object is selected, and image data of the image frame depicting the selected object is used for determining a feature vector for the selected object.