PATENT CLAIM ANALYSIS

Application Number: 15871862
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["382", "103000"]

Abstract:
Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.

Claim (Index 34):
A method for a robotic apparatus to detect objects comprising:\n receiving at least one image from at least one sensor, the at least one image comprising a plurality of pixels; partitioning a first image, of the at least one image, into at least one partition image comprising a distribution of the pixels based on saliency parameters of each pixel; using the at least one partition image to determine a saliency map based on areas of high saliency found within the at least one partition image, wherein the saliency map comprises areas of high saliency detected within the first image; and determining an object mask from the saliency map, wherein the object mask is determined based on at least one region of pixels of high saliency within the saliency map exceeding a positive detection parameter threshold, indicative of an object within the first image.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 86.0
- Lexical Diversity: 1.70408
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14637138', '14637164', '14637191', '14860579', '13710042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3840301894893044
- 35 USC 102 Novelty (BERT): 0.5356635388282789
- Combined Prediction Score: 0.3991935244232019
- Mean Citation Score: 340.84979
- Max Citation Score: 385.15378
- Similarity Product: 316.16751266863463

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

Dataset: test