PATENT CLAIM ANALYSIS

Application Number: 15756084
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-04
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; a template acquisition unit configured to acquire a template corresponding to a target object to be tracked included in the image; a masking map generation unit configured to generate a masking map serving as a map indicative of a degree of masking the target object to be tracked, which is included in the image, by another object; and a tracking unit configured to detect the target object to be tracked included in the image by using the template, and acquire over a plurality of 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, based on both of the template and the masking map.

Claim (Index 3):
The image processing apparatus according to  claim 2 , wherein\n the masking map generation unit generates the masking map, based on a result of a comparison between a single vector, obtained by tracking the target object to be tracked over the plurality of images, and each of a plurality of vectors obtained by tracking the plurality of blocks over the plurality of images.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 3.0566
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15756106', '15479741', '14326683', '14326690', '10585255']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3494364506277819
- 35 USC 102 Novelty (BERT): 0.5007391656336867
- Combined Prediction Score: 0.3645667221283724
- Mean Citation Score: 195.505324
- Max Citation Score: 258.30927
- Similarity Product: 193.0235010650433

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

Dataset: test