Invention Grant
- Patent Title: Background foreground model with dynamic absorption window and incremental update for background model thresholds
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Application No.: US16456470Application Date: 2019-06-28
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Publication No.: US10916039B2Publication Date: 2021-02-09
- Inventor: Kishor Adinath Saitwal , Lon W. Risinger , Wesley Kenneth Cobb
- Applicant: Intellective Ai, Inc.
- Applicant Address: US TX Dallas
- Assignee: Intellective Ai, Inc.
- Current Assignee: Intellective Ai, Inc.
- Current Assignee Address: US TX Dallas
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/90 ; G06K9/38 ; G06K9/40 ; G06T7/215 ; G06T7/254 ; G06T7/194

Abstract:
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.
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