PATENT CLAIM ANALYSIS

Application Number: 16068293
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["382", "103000"]

Abstract:
The present invention provides a system for visualizing the congestion degree of an entire facility using a monitoring camera. The system detects a crowd from a monitoring camera video and derives the magnitude (number of people) of the crowd from the edge amount thereof, and thereby estimates a congestion state in a range of camera video. The system also calculates a human flow (amount of movement of people) on the basis of a number of passing people counter and the magnitude and movement speed of the crowd, etc., and estimates the number of people in an area other than the range of camera video on the basis of a modeled crowd behavior pattern. The model is constructed by selecting a distribution function and a parameter thereof by a statistical model selection technique such as a Bayesian Information Criteria (BIC). The congestion state is plotted on a map, allowing the congestion state of an area of interest to be grasped at once.

Claim (Index 8):
The congestion-state-monitoring system according to  claim 7 ,\n wherein the spatial congestion level estimation device estimates a stay time or a distribution of the stay time for at least one floor by using a plurality of samples of combinations of average people densities and local people densities, which are obtained as a substantially same time; and estimates the congestion level at least one of a region where the congestion level is not directly determined by the number-of-people counter and a point which is out of capture range of the plurality of cameras, based on a model of a crowd behavior pattern constructed by a statistic model selection method.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 95.0
- Lexical Diversity: 2.14634
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15035516', '09944317', '16085851', '15117552', '13614267']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.315931561396776
- 35 USC 102 Novelty (BERT): 0.4848996314285257
- Combined Prediction Score: 0.332828368399951
- Mean Citation Score: 153.539414
- Max Citation Score: 166.80876
- Similarity Product: 114.35234079332832

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