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 8):
The crowd state recognition device according to  claim 1 ,\n wherein the at least one storage stores a dictionary of the discriminator acquired by machine learning by use of a plurality of pairs of crowd state image and training label prepared for a non-remarkably congested crowd and a remarkably congested crowd, and the at least one processor is configured to recognize whether the crowd shot in an image is remarkably congested 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): 0.3150534145878852
- 35 USC 102 Novelty (BERT): 0.6242385830328456
- Combined Prediction Score: 0.3459719314323813
- Mean Citation Score: 301.10445
- Max Citation Score: 557.08203
- Similarity Product: 524.2141153202498

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