Abstract:
A method includes detecting, with a passive infrared sensor (PIR), a level of infrared radiation in a field of view (FOV) of the PIR, generating a signal based on detected levels over a period of time, the signal having values that exhibit a change in the detected levels, extracting a local feature from a sample of the signal, wherein the local feature indicates a probability that a human in the FOV caused the change in the detected levels, extracting a global feature from the sample of the signal, wherein the global feature indicates a probability that an environmental radiation source caused the change in the detected levels, determining a score based on the local feature and the global feature, and determining that a human motion has been detected in the FOV based on the score.
Abstract:
A process recomputes zones for a scene. The process is performed at a computing device having one or more processors and memory. The memory stores one or more programs configured for execution by the one or more processors. The process receives a first image of a scene taken by an array of image sensors of a camera system at a first time and receives designation from a user of a zone within the first image. The process also receives a second image of the scene taken by the array of image sensors at a second time that is after the first time. The process compares the first and second images to identify movement of the camera and notifies the user about a change to the zone when the camera has moved.
Abstract:
A process identifies large planar surfaces in scenes. The process receives captured IR images of a scene taken by a 2-dimensional array of image sensors of a camera system. Each IR image is captured when a distinct subset of IR illuminators of the camera system is illuminated. The process constructs a depth map of a scene using IR images and uses the depth map to compute a binary depth edge map for the scene. The binary depth edge map identifies which points in the depth map comprise depth discontinuities. The process identifies contiguous components based on the binary depth edge map and determines that a first component of the contiguous components represents a large planar surface in the scene by: fitting a plane to points in the first component; determining the orientation of the plane; and determining that the plane fitting residual error is less than a predefined threshold.
Abstract:
A camera system includes memory, a lens assembly to direct light from a scene onto an image sensing element, an image sensing element configured to receive light from the scene via the lens assembly, at least one infrared illuminator configured to transmit infrared light, and a processor, coupled to the image sensing element and the at least one infrared illuminator. The processor is configured to operate the illuminators and the image sensing element in a first mode whereby infrared light transmitted by the illuminators and reflected from the scene is used to generate a two-dimensional image of the scene. The processor is also configured to operate the illuminators and the image sensing element in a second mode whereby infrared light transmitted by the illuminators and reflected from the scene is used to identify a planar surface in the scene.
Abstract:
A process recomputes zones for a scene. The process is performed at a computing device having one or more processors and memory. The memory stores one or more programs configured for execution by the one or more processors. The process receives a first image of a scene taken by an array of image sensors of a camera system at a first time and receives designation from a user of a zone within the first image. The process also receives a second image of the scene taken by the array of image sensors at a second time that is after the first time. The process compares the first and second images to identify movement of the camera and notifies the user about a change to the zone when the camera has moved.