PATENT CLAIM ANALYSIS

Application Number: 15761955
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["382", "225000"]

Abstract:
A method and a device for detecting at least one target in an image, wherein the image comprises a set of pixels with a magnitude assigned to each pixel is provided. The method comprises an iterative process until the K+1th target does not show a probability increase above a predetermined threshold value. The method is performed by creating a candidate free image, calculating, for the candidate free image, the probability of there being a target at each pixel, by using Bayes theorem, determining a location of the candidate target K+1 in the image, determining the probability that there is a target at the determined location, by determining the calculated probability of there being a target at the determined location. By performing the above, the most probable locations for targets in the image are located together with the probability that the location holds a true target.

Claim (Index 4):
The method according to  claim 3 , wherein the target probability distribution is obtained by making an explicit assumption that the candidate targets K have a uniform distribution over the image (I).

Metadata:
- Claim Count in Document: 44.0
- Percentile: 90.0
- Lexical Diversity: 2.19444
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15535997', '10847023', '12753643', '12406922', '14600402']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3732210609294883
- 35 USC 102 Novelty (BERT): 0.4900374775390289
- Combined Prediction Score: 0.3849027025904424
- Mean Citation Score: 204.601438
- Max Citation Score: 217.82793
- Similarity Product: 158.55547627058388

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test