PATENT CLAIM ANALYSIS

Application Number: 15869311
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["382", "103000"]

Abstract:
A system and method for identifying real time change in a scene of an unknown environment using an unmanned vehicle. In the context of unmanned vehicle navigation, it is critical to calculate the saliency map in real time and employ them in scene understanding. This will reduce the search space and ensure that the process is quicker. A domain specific ontology is created and a saliency model is developed. The saliency model detects key domain specific regions of interest in two consecutive images. The regions of interest is used for registration and change detection. The system is detecting the change by using visual saliency as an abstract feature that is developed in the environment. Probability of change is derived using the salient maps of the two images.

Claim (Index 6):
A system for identifying real time change in state of one or more objects based on ontology, the system comprising:\n a memory with a set of instruction; at least a processor, wherein the processor is communicatively connect with the memory; a media acquisition module is configured to capture a plurality of images of an unknown environment, wherein a first image of the plurality of images is a predefined reference for a subsequent second image; an identification module is configured to identify at least one salient region of a frame of the first image and at least one salient region of a frame of the second image, wherein the identification of the salient region is based on ontology of a predefined area of interest; a calculation module is configured to calculate the saliency of a plurality of pixels of the first image and the second image, wherein the calculation of the saliency is based on the predefined area of interest; a registration module is configured to register at least two calculated saliency of consecutive image of the plurality of images, wherein the registration is based on Gaussian pyramids calculated in salient regions; a comparison module is configured to compare the saliency map of first image with saliency map of second image to get change using normalized probability of saliency map, wherein the change is based on probability difference in salient regions; and an analysis module is configured to analyze the change in saliency is localized to identify real time change in state of the one or more objects in the unknown environment.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 86.0
- Lexical Diversity: 1.91549
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12214259', '15269777', '12400277', '14510000', '15272247']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2777758208818568
- 35 USC 102 Novelty (BERT): 0.4901965436856029
- Combined Prediction Score: 0.2990178931622314
- Mean Citation Score: 190.116876
- Max Citation Score: 201.68044
- Similarity Product: 147.43029020147802

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

Dataset: test