PATENT CLAIM ANALYSIS

Application Number: 15756106
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-05
Patent Classification: ["382", "103000"]

Abstract:
An image processing apparatus for tracking a target object to be tracked included in a plurality of consecutively captured images, the image processing apparatus comprises an image acquisition unit configured to acquire an image; and a tracking unit configured to detect a target object to be tracked included in the image by matching and acquire over a plurality of the images an amount of movement of the target object to be tracked and a direction of the movement of the target object to be tracked, wherein the tracking unit performs first matching by using a first template corresponding to the target object to be tracked, and performs second matching by using a second template, which is different in size or shape from the first template, in a case where a score of a result of the first matching is lower than a first threshold value.

Claim (Index 5):
The image processing apparatus according to  claim 1 , wherein\n the tracking unit acquires for a predetermined number of consecutive images a sum of scores of results of the first matching or scores of results of the second matching, and determines whether or not the tracking of the target object to be tracked is ended, based on the sum.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 2.57627
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15756084', '12456822', '12223779', '15867302', '12865917']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3480803511191672
- 35 USC 102 Novelty (BERT): 0.498766247241473
- Combined Prediction Score: 0.3631489407313978
- Mean Citation Score: 195.05157000000003
- Max Citation Score: 253.06198
- Similarity Product: 190.0912802352237

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