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 7):
The method of  claim 4 , further comprising determining another epipolar moving objectness score as follows: \u03a8 \ue8a0 ( z i , \u03c4 t ) = 1 \u03c1 \ue8a0 ( z i , \u03c4 t ) \ue89e \u2211 m = \u03c4 + 1 t \ue89e \u2211 n = \u03c4 m - 1 \ue89e [ \u03c6 \ue8a0 ( x i m , x i n ) > \u03c6 \ue8a0 ( x i m , x i n + 1 ) + v ] \ue89e \u2211 m = \u03c4 t - 1 \ue89e \u2211 n = m t \ue89e [ \u03c6 \ue8a0 ( x i m , x i n ) > \u03c6 \ue8a0 ( x i m + 1 , x i n ) + v ] , where [\u22c5] is an indicator function, v is a tolerance variable and \u03c1(z i,\u03c4 t )=(t\u2212\u03c4)(t\u2212\u03c4\u22121)/2 is the normalization factor.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 94.0
- Lexical Diversity: 1.52941
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15349556', '11873390', '10745394', '11385983', '13454577']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3015541461219073
- 35 USC 102 Novelty (BERT): 0.5592529227686588
- Combined Prediction Score: 0.3273240237865824
- Mean Citation Score: 197.51274400000003
- Max Citation Score: 427.34402
- Similarity Product: 403.7133232496882

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