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 9):
The congestion-state-monitoring system according to  claim 7 , further comprising a face detector that detects a face from the image capturing an entrance and exit to the region and outputs a number of faces, wherein\n the in-view congestion level estimation device extracts an edge or a corner as the interest point and performs segment regression using a plurality of sets of the sums and the numbers of the faces, each of the sums and each of the numbers of faces being obtained from a same image, thus estimating the number of people from any of the sums.

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): 0.2912125966313417
- 35 USC 102 Novelty (BERT): 0.4807871510187694
- Combined Prediction Score: 0.3101700520700845
- Mean Citation Score: 153.539414
- Max Citation Score: 166.80876
- Similarity Product: 116.2570402472305

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