Hoang Trinh

US Patent:

20130250115, Sep 26, 2013

Filed:

Mar 23, 2012

Appl. No.:

13/428982

Inventors:

Quanfu Fan - Somerville MA, US
Sachiko Miyazawa - White Plains NY, US
Sharathchandra U. Pankanti - Darien CT, US
Hoang Trinh - Pelham NY, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06K 9/62
H04N 7/18

US Classification:

348150, 348E07085

Abstract:

Embodiments of the present invention provide a system, method, and program product to determine whether a product has been successfully purchased by identifying in a video record when a movement of a product adjacent to a scanner occurs, and whether the scanner did not record a purchase transaction at that time; measuring a difference in time between the time of the movement of the product and a time of another movement of a product, and determining by a trained support vector machine a likelihood that the product was successfully purchased. Alternately, the difference in time can be measured between the time of the movement of the product and a time of a transaction record, or between the time of the movement of the product and a boundary time. The support vector machine can use a radial basis function kernel and can generate a decision value and a confidence score.

US Patent:

20130050517, Feb 28, 2013

Filed:

Aug 26, 2011

Appl. No.:

13/218845

Inventors:

Quanfu Fan - Somerville MA, US
Prasad Gabbur - Sleepy Hollow NY, US
Sachiko Miyazawa - Bronx NY, US
Sharathchandra U. Pankanti - Darien CT, US
Hoang Trinh - Mt. Vernon NY, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

H04N 5/228
G06K 9/00

US Classification:

34820899, 382103, 348E05031

Abstract:

Visual content in images captured from a scene by a camera in each of a plurality of different pose settings are analyzed to determine predicted occurrences of a transaction associated with the visual content in each pose, which are compared with actual transaction occurrence data to generate performance values for each pose as a function difference between the predicted and actual transactions. Optimized poses are chosen having the best performance value, wherein a camera controller may place the camera in the optimum pose for use in monitoring the scene and generating the primitives of interest associated with the transactions.

US Patent:

20130044942, Feb 21, 2013

Filed:

Aug 19, 2011

Appl. No.:

13/213262

Inventors:

Quanfu Fan - Somerville MA, US
Prasad Gabbur - Sleepy Hollow NY, US
Sachiko Miyazawa - Bronx NY, US
Jiyan Pan - Pittsburgh PA, US
Sharathchandra U. Pankanti - Darien CT, US
Hoang Trinh - Mt. Vernon NY, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06K 9/62

US Classification:

382159

Abstract:

Events are classified through string pattern recognition. Text labels are assigned to image primitives in a time-ordered set of training images and to related time-ordered transactions in an associated training transaction log in a combined time-ordered training string of text labels as a function of image types. Transactions are labeled in a training transaction log with a transaction label, a training primitive image of a start of a transaction with a start image text label, a training primitive of an entry of a transaction into the log with an entry image text label, and a training primitive of a conclusion of a transaction with an ending image text label. Positive subset string patterns are discovered representing true events from the combined time-ordered training string of text labels, and negative subset string patterns defined by removing single transaction primitive labels from the positive subset string patterns.