CREATING A TRAINING TOOL

• US 20100114671A1
• Filed: 10/31/2008
• Published: 05/06/2010
• Est. Priority Date: 10/31/2008
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Pankanti, Sharathchandra Umapathirao, Hampapur, Arun, Kjeldsen, Frederik, Zhai, Yun, Fan, Quanfu, Yanagawa, Akira, Bobbitt, Russell Patrick
• Granted Patent: US 8,612,286 B2
• Time in Patent Office: Days
• US Class Current: 705/11
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G07G 3/00 Alarm indicators, e.g. bells
• CPC Class Codes: G07G 3/006 False operation
• CPC Class Codes: G09B 19/18 Book-keeping or economics
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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.

Claims

1. A method for creating a training technique for an individual, comprising the steps of:

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.

2. The method of claim 1, wherein obtaining video of one or more events and information from a transaction log that corresponds to the one or more events comprises inputting the video and transaction log information into a video analytics engine, wherein the video analytics engine outputs a set of one or more unclassified events.

3. The method of claim 1, wherein each of the one or more events comprises a collection of one or more features.

4. The method of claim 3, wherein the one or more features comprise at least one of shape, color, texture, location, orientation, area, one or more motion characteristics, one or more edges, optical flow, one or more color statistics, spatial gradient, temporal gradient, temporal texture, one or more object locations and one or more object trajectories.

5. The method of claim 1, wherein the one or more event categories comprise at least one of a person present in cashier area, a barcode scanned, multiple people present in customer area, transaction voided, a person present in customer area, multiple people present in cashier area, a keyboard interaction, one or more items bagged, a pick-up motion, a scan motion and a drop motion.

6. The method of claim 1, further comprising generating a compliance report that indicates the degree of compliance for each individual.

7. The method of claim 1, wherein using the degree of compliance to create a training technique for the individual comprises a human supervisor examining the degree of compliance to create a training technique for the individual.

8. The method of claim 1, further comprising rating the classification of the one or more events based on a metric.

9. The method of claim 1, further comprising automatically learning one or more statistical models of one or more model events.

10. The method of claim 1, further comprising generating a revised transaction log.

11. A computer program product comprising a computer readable medium having computer readable program code for creating a training technique for an individual, said computer program product including:

computer readable program code for 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;

computer readable program code for classifying the one or more events into one or more event categories;

computer readable program code for comparing the one or more classified events with an enterprise best practices model to determine a degree of compliance;

computer readable program for 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

computer readable program code for using the degree of compliance to create a training technique for the individual.

12. The computer program product of claim 11, wherein the computer readable program code for obtaining video of one or more events and information from a transaction log that corresponds to the one or more events comprises computer readable program code for inputting the video and transaction log information into a video analytics engine, wherein the video analytics engine outputs a set of one or more unclassified events.

13. The computer program product of claim 11, further comprising computer readable program code for generating a compliance report that indicates the degree of compliance for each individual.

14. The computer program product of claim 11, wherein the computer readable program code for using the degree of compliance to create a training technique for the individual comprises computer readable program code for a human supervisor examining the degree of compliance to create a training technique for the individual.

15. The computer program product of claim 11, further comprising computer readable program code for rating the classification of the one or more events based on a metric.

16. The computer program product of claim 11, further comprising computer readable program code for generating a revised transaction log.

17. The computer program product of claim 11, further comprising computer readable program code for automatically learning one or more statistical models of one or more model events.

18. A system for creating a training technique for an individual, comprising:

a memory; and

at least one processor coupled to said memory and operative to;

obtain 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;

classify the one or more events into one or more event categories;

compare the one or more classified events with an enterprise best practices model to determine a degree of compliance;

examine 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

use the degree of compliance to create a training technique for the individual.

19. The system of claim 18, wherein in obtaining video of one or more events and information from a transaction log that corresponds to the one or more events, the at least one processor coupled to said memory is further operative to input the video and transaction log information into a video analytics engine, wherein the video analytics engine outputs a set of one or more unclassified events.

20. The system of claim 18, wherein the at least one processor coupled to said memory is further operative to generate a compliance report that indicates the degree of compliance for each individual.

21. The system of claim 18, wherein in using the degree of compliance to create a training technique for the individual, the at least one processor coupled to said memory is further operative to enable a human supervisor examining the degree of compliance to create a training technique for the individual.

22. The system of claim 18, wherein the at least one processor coupled to said memory is further operative to rate the classification of the one or more events based on a metric.

23. The system of claim 18, wherein the at least one processor coupled to said memory is further operative to generate a revised transaction log.

24. The system of claim 18, wherein the at least one processor coupled to said memory is further operative to automatically learn one or more statistical models of one or more model events.

25. An apparatus for creating a training technique for an individual, said apparatus comprising:

means for 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;

means for classifying the one or more events into one or more event categories;

means for comparing the one or more classified events with an enterprise best practices model to determine a degree of compliance;

means for 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

means for using the degree of compliance to create a training technique for the individual.