PATENT CLAIM ANALYSIS

Application Number: 16002822
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["382", "103000"]

Abstract:
Disclosed are systems and methods for detecting moving objects. A computer-implemented method for detecting moving objects comprises obtaining a streaming video captured by a camera; extracting an input image sequence including a series of images from the streaming video; tracking point features and maintaining a set of point trajectories for at least one of the series of images; measuring a likelihood for each point trajectory to determine whether it belongs to a moving object using constraints from multi-view geometry; and determining a conditional random field (CRF) on an entire frame to obtain a moving object segmentation.

Claim (Index 3):
The method of  claim 1 , wherein the constraints from multi-view geometry comprise at least one of: an epipolar constraint between two-view and trifocal constraints from three-view.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 94.0
- Lexical Diversity: 1.52941
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15349556', '11873390', '10745394', '11385983', '13454577']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3262025166976778
- 35 USC 102 Novelty (BERT): 0.563470237698011
- Combined Prediction Score: 0.3499292887977112
- Mean Citation Score: 197.51274400000003
- Max Citation Score: 427.34402
- Similarity Product: 423.40023846815353

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