IP Library Granted Patent US 12,573,071
Granted Patent B2
US 12,573,071 · App. 17/963,126 · Granted Mar 10, 2026

Vision system for object detection, recognition, classification and tracking and the method thereof

Inventors: Palle Geltzer Dinesen (Dyssegard, DK); Boris Stankovic (Copenhagen, DK); Per Eld Ibsen (Copenhagen, DK); Mohammad Tavakoli (Copenhagen, DK); Christoffer Gøthgen (Copenhagen, DK)
Assignee: UbiqiSense Aps
G06T7/70G06T7/80G06V10/462G06V20/52G06V10/513
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Quick Facts
Patent No.
US 12,573,071
App. No.
17/963,126
Granted
Mar 10, 2026
Kind
B2
Abstract

The present invention relates to a method 100 for object detection ( 140 ), recognition, classification and tracking using a distributed networked architecture comprising one or more sensor units ( 20 ) wherein the image acquisition and the initial feature extraction are performed and a gateway processor ( 30 ) for further data processing. The present invention also relates to a vision system ( 10 ) for object detection ( 140 ) wherein the method may be implemented, to the devices of the vision system ( 10 ), and to the algorithms implemented in the vision system ( 10 ) for executing the method acts.

Claims (30)

1 . A method of object detection, identification and localization, the method including acts of:

acquiring an image from a camera;

generating a pre-processed image by performing image pre-processing of the said acquired image;

detecting and identifying an object in the pre-processed image using a computer vision detection algorithm;

extracting a feature on the detected and identified object using a computer vision data feature extraction algorithm and generating a reduced dataset that includes extracted data features;

localizing the object; and

approximating a distance of the detected object to the camera from the extracted data features from the reduced data set.

2 . The method of claim 1 , wherein the acts are performed on a single image.

3 . The method of claim 1 , wherein the act of the approximating the distance is performed by:

acquiring a pixel object distance of the detected object from the reduced dataset; and

comparing the pixel object distance with a tabulated physical object height and a tabulated camera parameter.

4 . The method of claim 1 , being performed in a sequence and further comprising an act of motion tracking the localized object.

5 . The method of claim 1 , further comprising an act of approximating an object-camera angle between a feature point in the feature and a center point in a feature plane that is parallel to an image plane of the camera.

6 . The method of claim 5 , wherein the acts are performed on a single image.

7 . The method of claim 5 , further comprising an act of combining the approximation of the distance and the approximation of angle to improve the localization of the object.

8 . The method of claim 5 , wherein the angle approximation is used on one object, using two sensors with overlapping fields of view and triangulation, for a more precise object location.

9 . A vision system configured to perform the method of claim 5 , wherein the vision system is self-calibrated based on at least two approximated angles.

10 . The method of claim 1 performed by acquiring images from multiple cameras.

11 . The method of claim 10 further including acts of

approximating a first object-camera-distance to a detected object in a first preprocessed image,

approximating a second object-camera-distance to a detected object in a second pre-processed image, where the first pre-processed image captures a first scene, and the second preprocessed image captures a second scene which completely or partly overlaps the first scene, and

using the first and second object-camera-distances to validate that the detected object in the first and second pre-processed image is the same object.

12 . The method of claim 10 further including an act of estimating an orientation of the object.

13 . A vision system configured to perform the method of claim 10 , wherein the vision system is self-calibrated based on at least two approximated distances.

14 . A vision system configured to perform the method of claim 10 , wherein the vision system is self-calibrated based on at least two approximated angles.

15 . The method of claim 10 , further including an act of time-synchronization of acquiring a plurality of images.

16 . The method of claim 10 , further including an act of spatial coordination of acquiring cameras by deducing relative geometries of the cameras from their pixel correspondence.

17 . A sensor unit configured to perform the acts of claim 1 .

18 . The sensor unit according to claim 17 further comprising sensor communication means arranged for transmitting detected, identified and localized object data.

19 . A vision system comprising one or more sensor units according to claim 17 .

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 15, 2023
From: DINESEN, PALLE GELTZER; STANKOVIC, BORIS; IBSEN, PER ELD; TAVAKOLI, MOHAMMAD; GØTHGEN, CHRISTOFFER
To: UBIQISENSE APS
Reel/Frame 064593/0138 →
Priority Claims (1)
DK PA 2017 70932 · Dec 13, 2017 · national
Continuity (2)
Continuation 16772790
Related Publication 20230145405A1 · May 11, 2023
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