PATENT CLAIM ANALYSIS

Application Number: 16296516
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["382", "103000"]

Abstract:
[Problem] To provide a motion condition estimation device, a motion condition estimation method and a motion condition estimation program capable of accurately estimating the motion condition of monitored subjects even in a crowded environment. [Solution] A motion condition estimation device according to the present invention is provided with a quantity estimating means  81  and a motion condition estimating means  82 . The quantity estimating means  81  uses a plurality of chronologically consecutive images to estimate a quantity of monitored subjects for each local region in each image. The motion condition estimating means  82  estimates the motion condition of the monitored subjects from chronological changes in the quantities estimated in each local region.

Claim (Index 9):
The movement state estimation method according to  claim 6 , wherein\n comparing a future quantity of the monitoring targets for each of the local regions with a quantity of the monitoring targets at a future time point for each of the local regions; and estimating the movement state of the monitoring targets by placing more importance on the local region where a difference in the quantity is smaller.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 99.0
- Lexical Diversity: 2.10526
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15543408', '16296468', '15533101', '15035516', '11633440']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3703018211781796
- 35 USC 102 Novelty (BERT): 0.5338565612492138
- Combined Prediction Score: 0.3866572951852831
- Mean Citation Score: 235.99080200000003
- Max Citation Score: 368.1444
- Similarity Product: 290.6690058364392

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test