PATENT CLAIM ANALYSIS

Application Number: 15921856
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-08
Patent Classification: ["382", "103000"]

Abstract:
This disclosure relates generally to computer vision, and more particularly to method and system for tracking objects within a video. In one embodiment, a method for tracking objects within a video is disclosed. The method includes receiving one or more regions of interest (ROIs) corresponding to one or more objects in an initial frame of the video, extracting a set of scale and rotation invariant interest data points in each of the ROIs, clustering the set of scale and rotation invariant interest data points in a ROI into a set of clusters based on corresponding locations in the ROI, determining an optimal set of interest data points from each of the set of clusters based on corresponding feature response values and spread values, and initiating tracking of the optimal set of interest data points in subsequent frames of the video to track the one or more objects in the video.

Claim (Index 12):
The method of  claim 11 , further comprising:\n validating the active data points based on at least one of an orientation, a distance, or a symmetry between two or more of the active data points in each of the subsequent video frames; and removing outlier active data points based on the validation.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 90.0
- Lexical Diversity: 2.40299
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12977540', '13973040', '12799618', '14632237', '12550760']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3152652337839751
- 35 USC 102 Novelty (BERT): 0.4989718939019927
- Combined Prediction Score: 0.3336358997957769
- Mean Citation Score: 205.384404
- Max Citation Score: 215.08374
- Similarity Product: 136.2042393828249

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