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 12):
The system of  claim 11 , wherein the epipolar constraint is calculated based at least in part on an epipolar moving objectness score for a pair of point correspondence as follows:\n \u03d5( x i \u03c4 ,x i \u03c4\u2032 )= d pl ( F \u03c4 \u03c4\u2032 x i \u03c4\u2032 ,x i \u03c4 )+ d pl ( x i \u03c4\u2032 ,x i \u03c4 F \u03c4 \u03c4\u2032 ), where F \u03c4 \u03c4\u2032 x i \u03c4\u2032  and x i \u03c4 F \u03c4 \u03c4\u2032  define relative epipolar lines in each view and a function d pl (\u22c5) computes a point to line distance.

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): 0.3261529014628279
- 35 USC 102 Novelty (BERT): 0.56357066712255
- Combined Prediction Score: 0.3498946780288001
- Mean Citation Score: 197.51274400000003
- Max Citation Score: 427.34402
- Similarity Product: 424.41340035028696

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