Background foreground model with dynamic absorption window and incremental update for background model thresholds
AssigneeOmni AI, Inc.
InventorsKishor Adinath Saitwal, Lon W. Risinger, Wesley Kenneth Cobb
Life of this patent
Estimating the term…
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AssigneeOmni AI, Inc.
InventorsKishor Adinath Saitwal, Lon W. Risinger, Wesley Kenneth Cobb
Estimating the term…
Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to process large numbers of camera feeds simultaneously, e.g., using parallel processing architectures, while still generating an accurate background model. Further, using both a pixel based approach and context based approach ensures that the video analytics system can effectively and efficiently respond to changes in a scene, without overly increasing computational complexity. In addition, techniques are disclosed for updating the background model, from frame-to-frame, by absorbing foreground pixels into the background model via an absorption window, and dynamically updating background/foreground thresholds.
A computer-implemented method, comprising:
A non-transitory processor-readable storage medium storing processor-executable instructions to:
A system, comprising:
Dependencies are inferred from the claim text.