Computing system and a computer-implemented method for sensing events from geospatial data

A computing system for sensing events during a dynamic activity, the system comprising:

• a data acquisition module and a sensor module;
• wherein:
• a. the data acquisition module comprises a video capture module and computer vision tracking system,
• i. the video capture module is configured to receive or capture video footage from a dynamic activity, and
• ii. the computer vision module is configured to digitally process the video footage to produce trajectories of individuals in the video and a homography mapping between video coordinates and real-world coordinates, and comprises a detection module, a tracking module, and a homography estimation module,
• 1. the detection module is configured to detect individuals in each frame of the video, and
• 2. the tracking module is configured to associate detected individuals from one frame to the next, and
• 3. the homography estimation module is configured to estimate a mapping of video coordinates to real-world coordinates;
• b. the sensor module is configured to digitally process data from the data acquisition module and output event records, and comprises a description module and an event detector module,
• i. the description module is configured to evaluate a collection of computer-implemented models, with each model taking as input as least one of the positional data determined by the data acquisition module, and the output of one or more other models from the collection,
• ii. the event detector comprises a pattern library and a pattern matcher module,
• 1. the pattern library contains pattern definitions, each containing
• a. one rule defining the conditions, in terms of inequality relationships defined over outputs from the model graph, during which the pattern should be considered matched, and
• b. zero or more additional rules, each mapped from a role, in terms of outputs from the model graph, determining when an individual is considered as fulfilling that rule, and
• c. a mapping of roles to glyph specifications, where glyphs are visual elements, and
• 2. the pattern matcher module is configured to evaluate rules from the pattern library in the form of inequalities over the model outputs, and
• iii. the event detector is configured to produce event records that include start and end times of the matched event determined by the first to the last frame at which the event's pattern in the pattern library was matched, and one or more individual role assignments, determined by applying the rule associated with each role as specified by the entry in the pattern library.

A computing system, comprising:

• at least one processor, and at least one memory;
• the at least one memory comprising:
• a collection of models associated with a dynamic activity, a pattern library with pattern definitions associated with the dynamic activity, and instructions which, when executed by the at least one processor, cause the computing system to at least perform the following:
• digitally process video footage of the dynamic activity such that the digital processing:
• registers coordinates of the video footage and estimate coordinates of a real-world space where the activity takes place as appearing in the video footage, and thereby provide a homography mapping between both coordinates;
• and
• detects individuals in each frame of the video footage, associates the detected individuals between adjacent frames, and use both the associated detection of the individuals and the homography mapping to output a dataset with at least one of positional data of the individuals and trajectories of the individuals;
• digitally process the collection of models such that the digital processing:
• constructs a vector model graph with the models in the collection;
• inputs at least part of the dataset into the vector model graph for evaluation thereof;
• constructs, based on the evaluated vector model graph, a subset of spatial models into a graph for each group of N frames of the video footage, with the video footage at least comprising N frames;
• and
• inputs at least part of the dataset into the graph of the subset of spatial models for evaluation thereof, thereby providing spatial model evaluation outputs;
• digitally process the pattern definitions such that the digital processing:
• compares each pattern definition with each spatial model evaluation output;
• and
• outputs an event record for each spatial model evaluation output that fulfills the pattern definition, the event record including data at least indicative of an event of the pattern definition, and start and end times that the pattern definition is fulfilled according to respective start and end frames of the video footage;
• wherein each pattern definition of the pattern library includes data at least indicative of a rule defining conditions in terms of inequality relationships defined over outputs from a model graph.