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 11):
The congestion-stage-monitoring system according to  claim 10 , further comprising a controller for controlling respective priorities of the plurality of cameras in the in-view congestion level estimation device, the number-of-people counter and the spatial congestion level estimation device,\n wherein the controller temporally let the face verification device acts a mode of prioritizing faces to update a regression expression which is used for estimation by the in-view congestion level estimation device; wherein the in-view congestion level estimation device counts people flows based on a flow of an edge or a corner; and wherein the number-of-people counter selects a reliable one of a number of people of the number-of-people counter and the people flows of the in-view congestion level estimation device and uses the selected one.

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): 0.2895563042961742
- 35 USC 102 Novelty (BERT): 0.4884236833176411
- Combined Prediction Score: 0.309443042198321
- Mean Citation Score: 153.539414
- Max Citation Score: 166.80876
- Similarity Product: 108.25505551846504

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