Verkada Inc.

John Peruzzi

Yunchao Gong

Rishabh Goyal

Song Cao

A method for monitoring protected regions of a camera view includes receiving, at a processor of a video camera system, a video stream including a series of video frames depicting at least one scene. A background model is identified based on a predefined representation of at least one region of interest associated with the scene. Each of the video frames is compared to the background model, to define an associated binary mask. A persistent change in the at least one region of interest is detected, based on the binary masks, the persistent change having an associated duration that exceeds a predefined threshold. In response to detecting the persistent change, a change notification message including a video file is generated. The method also includes causing display of the change notification message via a user interface and/or causing transmission of the change notification message to a remote compute device.

Methods and apparatus for targeted analysis of video images and detection of persistent changes in a camera view

A method includes receiving, at a processor and from a requestor compute device, a request including a representation of at least one video camera from a set of video cameras. In response to receiving the request, a set of at least one video file is generated by retrieving a set of video clips associated with the at least one video camera and the time range. For each of the at least one video camera, a subset of video clips is selected from the set of video clips for that video camera based on a comparison of anomaly scores for that video camera, and concatenating the subsets of video clips to generate the set of at least one video file. The method also includes sending a signal to cause display of at least one video file from the set of at least one video file via the requestor compute device.

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San Francisco, CA, United States of America

John Peruzzi