Characterizing motion patterns of one or more agents from spatiotemporal data
US9740984B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2012 |
| Grant date | Aug 22, 2017 |
| Priority date | — |
| Expiry date | Nov 12, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/043
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described to characterize motion patterns of a group of agents engaging in an activity. An analysis system receives input data associated with spatial and temporal information of at least one element of interest associated with the activity, where the object of interest may be a ball, person, animal or any other object in motion. The analysis system partitions the input data into a plurality of spatiotemporal segments and generates one or more representations of one or more sets of segments of the plurality of spatiotemporal segments based on one or more criteria. The analysis system computes a metric, such as an entropy value, for each of the one or more representations. Partial tracing data, such as ball movements in a sporting event, may be created using an inexpensive input device, such as a tablet computer, making the disclosed techniques available for a wide range of events and activities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.