Systems and methods for categorizing motion event candidates

A server system comprising:

• one or more processors;
• and
• memory coupled to the one or more processors, the memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:
• receiving a plurality of video frames, the plurality of video frames including a motion event candidate;
• processing the plurality of video frames, the processing comprising:
• obtaining one or more background factors corresponding to a background in at least a subset of the plurality of video frames;
• utilizing the obtained background factors to identify one or more motion entities in at least a subset of the plurality of video frames;
• for each identified motion entity, obtaining one or more representative motion vectors based on a motion track of the respective motion entity;
• identifying one or more scene features in at least a subset of the plurality of video frames;
• and
• aggregating the obtained background factors, the obtained representative motion vectors, and the identified scene features to generate a plurality of motion features;
• and
• sending the plurality of motion features to an event categorizer;
• wherein the event categorizer assigns a motion event category to the motion event candidate based on the received motion features;
• and
• wherein the motion event category assigned to the motion event candidate is selected from a group consisting of:
• one or more known event types;
• one or more unknown event types;
• and
• a non-event type.

A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing system, cause the system to:

• receive a plurality of video frames, the plurality of video frames including a motion event candidate;
• process the plurality of video frames, the processing comprising:
• obtaining one or more background factors corresponding to a background in at least a subset of the plurality of video frames;
• utilizing the obtained background factors to identify one or more motion entities in at least a subset of the plurality of video frames;
• for each identified motion entity, obtaining one or more representative motion vectors based on a motion track of the respective motion entity;
• identifying one or more scene features in at least a subset of the plurality of video frames;
• and
• aggregating the obtained background factors, the obtained representative motion vectors, and the identified scene features to generate a plurality of motion features;
• and
• send the plurality of motion features to an event categorizer;
• wherein the event categorizer assigns a motion event category to the motion event candidate based on the received motion features;
• and
• wherein the motion event category assigned to the motion event candidate is selected from a group consisting of:
• one or more known event types;
• one or more unknown event types;
• and
• a non-event type.