Frederik Cm Kjeldsen

US Patent:

7962365, Jun 14, 2011

Filed:

Oct 31, 2008

Appl. No.:

12/262458

Inventors:

Russell Patrick Bobbitt - Pleasantville NY, US
Quanfu Fan - Somerville MA, US
Arun Hampapur - Norwalk CT, US
Frederik Kjeldsen - Poughkeepsie NY, US
Sharathchandra Umapathirao Pankanti - Darien CT, US
Akira Yanagawa - New York NY, US
Yun Zhai - White Plains NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 20/00
G06F 17/00

US Classification:

705 16, 235375

Abstract:

Techniques for using transactional and visual event information to facilitate loss prevention are provided. The techniques include obtaining video of one or more visual events at a point of sale environment and one or more transaction log entries that correspond to the video, wherein the one or more transaction log entries comprise one or more transactional events, categorizing each event as one of one or more model events, using each categorized event to create a revised transaction log, wherein the revised transaction log comprises a sequence of categorized events, wherein each categorized event is a combination of the one or more transactional events and the one or more visual events, examining the revised transaction log to correct one or more mis-categorizations, if any, and revise one or more model event categories with the one or more corrected mis-categorizations, if any, and using the revised transaction log to facilitate loss prevention.

US Patent:

8155872, Apr 10, 2012

Filed:

Jan 30, 2007

Appl. No.:

11/668540

Inventors:

Frederik C. Kjeldsen - Poughkeepsie NY, US
Anthony Levas - Yorktown Heights NY, US
Gopal S. Pingali - Mohegan Lake NY, US
Claudio S. Pinhanez - New York NY, US
Mark E. Podlaseck - Kent CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G01C 21/30
G01C 21/32

US Classification:

701208, 701209, 340990, 3409951, 34099519

Abstract:

Techniques are provided for providing physical routes to target locations. The techniques include obtaining at least one target location from at least one user; determining at least one physical route to said at least one target location; and displaying said at least one determined physical route through a sequence of at least one sign display, wherein each sign display are configured to display a plurality of physical routes.

US Patent:

8165349, Apr 24, 2012

Filed:

Nov 29, 2008

Appl. No.:

12/325176

Inventors:

Russell Patrick Bobbitt - Pleasantville NY, US
Quanfu Fan - Somerville MA, US
Arun Hampapur - Norwalk CT, US
Frederik Kjeldsen - Poughkeepsie NY, US
Sharathchandra Umapathirao Pankanti - Darien CT, US
Akira Yanagawa - New York NY, US
Yun Zhai - White Plains NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06K 9/00
H04W 4/00

US Classification:

382103, 382291, 370328

Abstract:

Techniques for analyzing one or more sequential events performed by a human actor to evaluate efficiency of the human actor are provided. The techniques include identifying one or more segments in a video sequence as one or more components of one or more sequential events performed by a human actor, integrating the one or more components into one or more sequential events by incorporating a spatiotemporal model and one or more event detectors, and analyzing the one or more sequential events to analyze behavior of the human actor.

US Patent:

8253831, Aug 28, 2012

Filed:

Nov 29, 2008

Appl. No.:

12/325178

Inventors:

Russell Patrick Bobbitt - Pleasantville NY, US
Quanfu Fan - Somerville MA, US
Arun Hampapur - Norwalk CT, US
Frederik Kjeldsen - Poughkeepsie NY, US
Sharathchandra Umapathirao Pankanti - Darien CT, US
Akira Yanagawa - New York NY, US
Yun Zhai - White Plains NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04N 9/083

US Classification:

348274, 348150

Abstract:

Techniques for detecting one or more events are provided. The techniques include using one or more regions of interest on a video sequence to cover a location for one or more events, wherein each event is associated with at least one of the one or more regions of interest, applying multiple-instance learning to the video sequence to construct one or more location-aware event models, and applying the models to the video sequence to determine the one or more regions of interest that are associated with the one or more events.

US Patent:

8345101, Jan 1, 2013

Filed:

Oct 31, 2008

Appl. No.:

12/262446

Inventors:

Russell Patrick Bobbitt - Pleasantville NY, US
Quanfu Fan - Somerville MA, US
Arun Hampapur - Norwalk CT, US
Frederik Kjeldsen - Poughkeepsie NY, US
Sharathchandra Umapathirao Pankanti - Darien CT, US
Akira Yanagawa - New York NY, US
Yun Zhai - White Plains NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04N 7/18

US Classification:

348150, 348143, 348169

Abstract:

Techniques for automatically calibrating one or more regions of interest for video surveillance are provided. The techniques include at a user-defined frequency, determining if one or more regions of interest (ROIs) are present within a field of view of a camera, if one or more ROIs are present within the field of view of the camera, automatically calibrating the one or more ROIs within the field of view of the camera, and if one or more ROIs are not present within the field of view of the camera, sending an alert to a user.

US Patent:

8429016, Apr 23, 2013

Filed:

Oct 31, 2008

Appl. No.:

12/262454

Inventors:

Russell Patrick Bobbitt - Pleasantville NY, US
Quanfu Fan - Somerville MA, US
Arun Hampapur - Norwalk CT, US
Frederik Kjeldsen - Poughkeepsie NY, US
Sharathchandra Umapathirao Pankanti - Darien CT, US
Akira Yanagawa - New York NY, US
Yun Zhai - White Plains NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 20/00

US Classification:

705 16, 705 18

Abstract:

Techniques for generating an alert based on absence of a given person in a transaction are provided. The techniques include monitoring, via video, a transaction, wherein the transaction includes presence of a given person in the transaction, relating the video of the transaction to a corresponding portion of a transaction log (TLOG), using the video and corresponding portion of the TLOG to detect if the given person in the transaction is present, and generating an alert if the given person is not present at the transaction.

US Patent:

8483481, Jul 9, 2013

Filed:

Jul 27, 2010

Appl. No.:

12/844330

Inventors:

Rogerio S. Feris - White Plains NY, US
Arun Hampapur - Norwalk CT, US
Frederik C. Kjeldsen - Poughkeepsie NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06T 7/0081

US Classification:

382173, 382164, 382190

Abstract:

Techniques are provided. The techniques include identifying a region of interest in a video scene, applying a background subtraction algorithm to the region of interest to detect a static foreground object in the region of interest, and determining whether the static foreground object is abandoned or removed, wherein determining whether the static foreground object is abandoned or removed comprises performing a foreground analysis based on edge energy and region growing, and pruning one or more false alarms using one or more track statistics.

US Patent:

8612286, Dec 17, 2013

Filed:

Oct 31, 2008

Appl. No.:

12/262467

Inventors:

Russell Patrick Bobbitt - Pleasantville NY, US
Quanfu Fan - Somerville MA, US
Arun Hampapur - Norwalk CT, US
Frederik Kjeldsen - Poughkeepsie NY, US
Sharathchandra Umapathirao Pankanti - Darien CT, US
Akira Yanagawa - New York NY, US
Yun Zhai - White Plains NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/00

US Classification:

705 742, 348150, 382155

Abstract:

Techniques for creating a training technique for an individual are provided. The techniques include obtaining video of one or more events and information from a transaction log that corresponds to the one or more events, wherein the one or more events relate to one or more actions of an individual, classifying the one or more events into one or more event categories, comparing the one or more classified events with an enterprise best practices model to determine a degree of compliance, examining the one or more classified events to correct one or more misclassifications, if any, and revise the one or more event categories with the one or more corrected misclassifications, if any, and using the degree of compliance to create a training technique for the individual.