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 7):
A congestion-state-monitoring system for estimating a congestion level for each region for substantially capturing an entire building or facility comprising:\n an in-view congestion level estimation device that processes images from a plurality of cameras to estimate a congestion level in a range of each image; a number-of-people counter that counts or estimates a number of people coming and going based on the image capturing an entrance and exit to the region, a spatial congestion level estimation device that estimates a congestion level of a region out of the range of each image based on a result of the in-view congestion level estimation device; and a graphical user interface that displays the congestion level of the region as a heat map, wherein: the in-view congestion level estimation device outputs the number of people in the image that is estimated based on a sum of interest points or feature values extracted from each of the images as an in-view congestion level; the spatial congestion level estimation device performs combining, complement, or analysis of the congestion level of the region based on an output of the number-of-people counter and a local congestion level based on the in-view congestion level estimation device to estimate a spatial distribution of the congestion level in the region; and the graphical user interface displays 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): 0.2920238743036176
- 35 USC 102 Novelty (BERT): 0.477059085261617
- Combined Prediction Score: 0.3105273953994175
- Mean Citation Score: 153.539414
- Max Citation Score: 166.80876
- Similarity Product: 120.16670010034564

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