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 5):
The method claimed in  claim 1 , wherein if the calculated score of saliency of the second image is zero then either the object of interest in frame is showing real time change or discard the frame.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 86.0
- Lexical Diversity: 1.91549
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12214259', '15269777', '12400277', '14510000', '15272247']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2968834062957585
- 35 USC 102 Novelty (BERT): 0.518004098903092
- Combined Prediction Score: 0.3189954755564919
- Mean Citation Score: 190.116876
- Max Citation Score: 201.68044
- Similarity Product: 108.51524181313756

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