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 7):
A computer system for re-identifying a first object in a first test image, the computer system comprising:\n a CPU; a computer-readable memory; a computer-readable, tangible storage device; first program instructions to receive the first test image and subsequently determine, during a testing mode subsequent to a completion of a training mode, respective measures of similarity between the first test image and each of first training images captured by a first camera by (i) estimating a foreground region and a background region of the first test image by segmenting the first test image into segments by using normalized cuts on the first test image in which the first object is centered, the foreground region being initialized using first segments that lie in a center of the first test image and the background region being initialized using second segments that do not lie in the center of the first test image and (ii) determining Bhattacharyya distances between feature representations of the estimated background region of the first test image and respective feature representations of background regions of the first training images, the first test image being captured by the first camera during the testing mode; second program instructions to, based in part on the Bhattacharyya distances and subsequent to the first test image being captured by the first camera, transform the first test image which results in a transformed first test image having a brightness that (1) is different from a brightness of the first test image captured by the first camera and (2) matches a brightness of training images captured by a second camera during the training mode, so that an appearance of the transformed first test image resembles an appearance of a capture of the first test image by the second camera, the transformed first test image including the first object which is in the first test image which was captured by the first camera; third program instructions to identify one of the test images captured by the second camera that is closer in appearance to the transformed first test image than other test images captured by the second camera; and fourth program instructions to designate a second object in the identified test image as a re-identification of the first object in the first test image, wherein the first, second, third, and fourth 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): 0.5879598723915285
- 35 USC 102 Novelty (BERT): 0.5834804860172088
- Combined Prediction Score: 0.5875119337540966
- Mean Citation Score: 298.33274
- Max Citation Score: 467.33093
- Similarity Product: 448.9445623435927

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