PATENT CLAIM ANALYSIS

Application Number: 16199283
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["348", "159000"]

Abstract:
An approach for re-identifying an object in a test image is presented. Similarity measures between the test image and training images captured by a first camera are determined. The similarity measures are based on Bhattacharyya distances between feature representations of an estimated background region of the test image and feature representations of background regions of the training images. A transformed test image based on the Bhattacharyya distances has a brightness that is different from the test image's brightness and matches a brightness of training images captured by a second camera. An appearance of the transformed test image resembles an appearance of a capture of the test image by the second camera. Another image included in test images captured by the second camera is identified as being closest in appearance to the transformed test image and another object in the identified other image is a re-identification of the object.

Claim (Index 12):
The computer system of  claim 7 , further comprising:\n fifth program instructions to determine, during the training mode, brightness transfer functions (BTFs) H i j  by determining H j \u22121 (H i (B i )), which is an inverted cumulative histogram, so that B j =H i j (B i ), which transfers a brightness value B i  in an object O i  to a corresponding brightness value B j  in an object O j , wherein object O i  is included in each first training image and object O j  is included in second training images captured by the second camera; sixth program instructions to determine, based on the Bhattacharyya distances, weights of the first training images captured by the first camera, the weights corresponding to the BTFs; seventh program instructions to determine, based on the Bhattacharyya distances, a weighted brightness transfer function (WBTF) by weighting the BTFs by the corresponding weights and combining the weighted BTFs; eighth program instructions to receive a threshold distance; ninth program instructions to receive K training images captured by the first camera; tenth program instructions to determine a first background region of the first test image; eleventh program instructions to determine respective second background regions of each of the K training images captured by the first camera; twelfth program instructions to determine first feature representations in the first background region of the first test image; and thirteenth program instructions to determine respective second feature representations in each of the second background regions, wherein the first program instructions to determine the measures of similarity includes fourteenth program instructions to determine K respective Bhattacharyya distances between the first feature representations in the first background region of the first test image and each of the second feature representations, wherein the fifth program instructions to determine the BTFs includes fifteenth program instructions to determine the BTFs after determining the K Bhattacharyya distances by an execution of the first program instructions and sixteenth program instructions to select K BTFs from a plurality of BTFs, so that the K BTFs correspond to the K Bhattacharyya distances and so that each of the K Bhattacharyya distances is less than or equal to the threshold distance, wherein the sixth program instructions to determine the weights includes seventeenth program instructions to determine a matching cost \u03b1 k  corresponding to each of the K BTFs, wherein k=1, . . . , K, wherein the seventh program instructions to determine the WBTF includes eighteenth program instructions to weight each BTF of the K BTFs by the corresponding \u03b1 k  and nineteenth program instructions to determine a linear combination of the weighted K BTFs, and wherein the fifth, sixth, seventh, eighth, ninth, tenth, eleventh, twelfth, thirteenth, fourteenth, fifteenth, sixteenth, seventeenth, eighteenth, and nineteenth program instructions are stored on the computer-readable, tangible storage device for execution by the CPU via the computer-readable memory.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.5
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15471595', '13647645', '15634499', '14790323', '10966769']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5882885825146661
- 35 USC 102 Novelty (BERT): 0.5827589034591952
- Combined Prediction Score: 0.587735614609119
- Mean Citation Score: 298.33274
- Max Citation Score: 467.33093
- Similarity Product: 444.2659093223453

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