RECOGNITION OF OBJECTS

• US 20120201470A1
• Filed: 03/21/2011
• Published: 08/09/2012
• Est. Priority Date: 02/03/2011
• Status: Abandoned Application

• Current Assignee: Hoenigsberg & Duevel Datentechnik GmbH
• Original Assignee: Hoenigsberg & Duevel Datentechnik GmbH
• Inventors: Pekar, Martin, Caslava, Martin, Doskar, Pavel, Honc, Jakub
• Application Number:
  US13/052,510
• Publication Number:
  US 20120201470A1
• Time in Patent Office: Days
• US Class Current: 382/203
• CPC Class Codes: G06V 10/46 Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features colour feature extraction G06V10/56

Abstract

Pre-defined objects in a digital image are recognized in a real-time automated fashion by using computer resources for detecting contours within the digital image and comparing the detected contours to properties describing predefined objects taking into account a classification of the objects.

Claims

1. A method for real-time automatic recognition of predefined objects within a digital image stored in a computer which includes a number of individual picture elements, comprising:

detecting contours contained in a digital image by computing resources provided by the computer, said detecting step yielding detected contours of one or more objects in said digital image, and

identifying at least one object by computing resources based on a comparison of the detected contours utilization of properties describing the one or more objects taking into account a classification of the one or more objects based on properties of the one or more objects.

2. The method of claim 1, further comprising the steps of transforming the digital image to a digital gray-scale image and highlighting of contours contained in the digital gray-scale image.

3. The method of claim 2 further comprising the step of validating detected objects in the digital image.

4. The method of claim 3, wherein said step of validating includes recognition in dependence of at least one of aspect ratios and color distribution of detected objects in the digital image with predetermined objects to be recognized.

5. The method of claim 1 further comprising the step of expanding of recognized contours in the digital image so that adjacent letters merge and recognition of an object classified as a word is made in dependence on of the expanded recognized contours.

6. The method of claim 5 wherein recognition of an object classified as sequential is made in dependence on adjacent contours of the object.

7. The method of claim 1 wherein recognition of an object classified as nested is made in dependence on recognition of a primary contour.

8. The method of claim 1 further comprising the step of correcting the digital image in dependence on location information of a recorded unit, and position sensors for determination of said location information during shooting of the digital image.

9. Mobile communication device with at least one CCD sensor to capture a digital image (3) or a sequence of images (video) and computing means for performing the aforementioned method using a digital image (3) re-corded by the CCD.

10. Mobile terminal device based on claim 9, characterized by a communication device with a display, set up to display a digital image and the detected objects within the digital image.