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 12):
A congestion-state-monitoring method for estimating a congestion level for each of a plurality of regions which are neighborly set, according to structure of buildings or facilities, comprising:\n a first step of processing images from a plurality of cameras and estimating an in-view congestion level in a range of each image; a second step of counting or estimating a number of people coming and going based on the image capturing an entrance and exit to the region; a third step of estimating a congestion level of the region out of the range of each image based on estimation results of the first step and the second step; and a fourth step of displaying a current congestion level of the entire buildings or facilities as a heat map on a graphical user interface, by using a congestion level of all the plurality of regions, wherein the first step comprises outputting a number of people captured in the image as an in-view congestion level, which is estimated based on a total of numbers of interest points extracted from the each image; wherein the third step comprises calculating at least one congestion level for each of the plurality of regions and outputting a spatial distribution of the congestion level, by combining, complement, or analysis of an average congestion level of the floor or the region based on a difference between a number of people flowing in and a number of people flowing out in the second step a local congestion level based on the first step; and wherein the fourth step comprises displaying the heat map which has color which depends on the output special distribution of the congestion level, at a point which is not included in the range of each image in the region.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 95.0
- Lexical Diversity: 2.14634
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15035516', '09944317', '16085851', '15117552', '13614267']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.289163654628815
- 35 USC 102 Novelty (BERT): 0.4902386193981041
- Combined Prediction Score: 0.3092711511057439
- Mean Citation Score: 153.539414
- Max Citation Score: 166.80876
- Similarity Product: 106.3541938992405

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