Robust Motion Filtering for Real-time Video Surveillance
AssigneeBossa Nova Robotics IP, Inc.
InventorsMarios Savvides, An Pang Lin, Shreyas Venugopalan, Ajmal Thanikkal, Karanhaar Singh, Gavriel Adler, Kyle Neblett
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Abstract
A video monitoring method that involves determining motion changes in a set of video frames to find potential objects is described. One or more bounding boxes are defined around the potential objects. These bounding boxes are spatially and temporally filtered to eliminate potential object candidates, with only potential objects in the bounding boxes remaining after filtering being classified or identified.
Claims19
A video monitoring method, comprising the steps of:
- determining motion changes in a set of video frames to find potential objects;
- defining one or more bounding boxes around the potential objects;
- spatially and temporally filtering the bounding boxes to eliminate potential objects;
- and
- classifying potential objects in the remaining filtered bounding boxes.
A video monitoring system for analysis of a set of video frames, comprising:
- a motion module that determines motion changes in the set of video frames to find potential objects;
- a bounding box module that defines one or more bounding boxes around the potential objects;
- a filtering module that spatially and temporally filters the bounding boxes to eliminate potential objects;
- and
- an object classifier that classifies potential objects in the remaining filtered bounding boxes.
A video monitoring system mountable on an autonomous robot, comprising:
- a camera system attached to an autonomous robot to provide a set of video frames,
- a motion module that determines motion changes in the set of video frames to find potential objects;
- a bounding box module that defines one or more bounding boxes around the potential objects;
- a filtering module that spatially and temporally filters the bounding boxes to eliminate potential objects;
- and
- an object classifier that classifies potential objects in the remaining filtered bounding boxes.
Dependencies are inferred from the claim text.