PATENT CLAIM ANALYSIS

Application Number: 16170176
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["382", "103000"]

Abstract:
Disclosed are methods, circuits, devices, systems and associated executable code for multi factor image feature registration and tracking, wherein utilized factors include both static and dynamic parameters within a video feed. Assessed factors may originate from a heterogeneous set of sensors including both video and audio sensors. Acoustically acquired scene information may supplement optically acquired information.

Claim (Index 12):
A method of video feed processing, said method system comprising:\n electronically receiving one or more two dimensional (\u201c2D\u201d) video feeds; algorithmically tracking and characterizing moving elements present within the scene video feed; algorithmically identifying and characterizing static elements or objects present within the scene video feed; defining a three dimensional (\u201c3D\u201d) coordinate set for the scene within boundaries of the scene video feed, wherein defining a three dimensional (\u201c3D\u201d) coordinate set includes identifying one or more substantially straight edges, indicative of the X Y or Z axes of the scene and mapping the positions of the identified and characterized static elements or objects in relation to the identified straight edges, wherein mapping the positions of the identified and characterized static elements or objects includes automatically echo-ranging one or more of the identified and characterized static elements or objects; deriving coordinates and orientation of the video feed source within the scene video feed coordinate frame; updating a scene element inventory with characterization information relating to identified static elements, wherein updating is performed responsive to either newly derived characterization information or to refinement of existing characterization information; detecting from within the tracked and characterized moving elements one or more humans in the scene video feed; and characterizing and logging an event associated with a detected human.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 97.0
- Lexical Diversity: 1.34043
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14751196', '15659655', '15264627', '14542787', '12220354']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.288080610002074
- 35 USC 102 Novelty (BERT): 0.5502592561710659
- Combined Prediction Score: 0.3142984746189732
- Mean Citation Score: 243.494954
- Max Citation Score: 392.66525
- Similarity Product: 388.0894492415786

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

Dataset: test