Foreground detector for video analytics system
AssigneeIntellective Ai, Inc.
InventorsKishor Adinath Saitwal, Lon W. Risinger, Wesley Kenneth Cobb
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AssigneeIntellective 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 computer-readable storage medium containing a program, which when executed on a processor, performs an operation for generating a background model of image data, the operation comprising:
A system, comprising:
Dependencies are inferred from the claim text.