PATENT CLAIM ANALYSIS

Application Number: 16209290
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["382", "155000"]

Abstract:
At least one storage stores a dictionary of a discriminator acquired by machine learning by use of a plurality of pairs of crowd state image as an image which expresses a crowd state at a predetermined size and includes a person whose reference site is expressed as large as the size of the reference site of a person defined for the predetermined size, and training label for the crowd state image. At least one processor extracts regions from a given image and recognizes states of the crowds shot in the extracted regions based on the dictionary.

Claim (Index 16):
The crowd state recognition device according to  claim 10 ,\n wherein the at least one storage stores a dictionary of the discriminator acquired by changing directions of persons expressed in a crowd state image and by machine learning by use of a plurality of pairs of crowd state image and training label prepared for the directions of persons, and the at least one processor recognizes the direction of the crowd shot in the image based on the dictionary.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 98.0
- Lexical Diversity: 1.8
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15667937', '14899340', '15148391', '12313193', '14700315']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3186600985074445
- 35 USC 102 Novelty (BERT): 0.6142385419128868
- Combined Prediction Score: 0.3482179428479887
- Mean Citation Score: 301.10445
- Max Citation Score: 557.08203
- Similarity Product: 483.1527474838686

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test