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 14):
The crowd state recognition device according to  claim 11 ,\n wherein the at least one storage stores a group of rectangular regions indicating portions to be recognized for a crowd state on an image, the group of rectangular regions is a group of size-defined rectangular regions based on parameters indicating at least one of position, posture, focal distance and lens distortion of an image acquisition device for acquiring an image, and the size of the reference site of a person defined for the predetermined size.

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): 0.3292959204834249
- 35 USC 102 Novelty (BERT): 0.5845652845881982
- Combined Prediction Score: 0.3548228568939022
- Mean Citation Score: 301.10445
- Max Citation Score: 557.08203
- Similarity Product: 363.47439372053503

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