US 9,544,550 B1 · Low power surveillance camera system for intruder detection

Abstract

Described is a low power surveillance camera system for intruder detection. The system observes a scene with a known camera motion to generate images with various viewing angles. Next, a background learning mode is employed to generate a low rank matrix for the background in the images. Background null space projections are then learned, which provide a foreground detection kernel. A new scene with known viewing angles is then obtained. Based on the foreground detection kernel and the new input image frame, low power foreground detection is performed to detect foreground potential regions of interest (ROIs), such as intruders. To filter out minimal foreground activity, the system identifies contiguous ROIs to generate the foreground ROI. Focus measures are then employed on the ROIs using foveated compressed sensing to generate foveated measurements. Based on the foveated measurements, the foreground is reconstructed for presentation to a user.

Claims18

Dependent claims

A low power surveillance system, the system comprising:

one or more processors and a memory, the memory having executable instructions encoded thereon, such that upon execution of the instructions, the one or more processors performs operations of:
receiving a series of frames from a camera, each frame having a background and a foreground;
generating a background template from the series of frames;
receiving a new image frame of the scene, the new image frame having a background and a foreground;
detecting an intruder image in the foreground of the new image frame;
combining the intruder image with the background template to reconstruct the foreground;
and
wherein in detecting an intruder image in the foreground, the foreground is detected using a convex optimization, as follows:
min
e
⁢

Φ
⁢
⁢
e
-
y

2
+
α
⁢

e

1
,
where Φ denotes a measurement matrix, and where e denotes a sparse component in the new image frame d, where y=Φd, and where α denotes a low rank back round.

26 more elements

A computer program product stored on the non-transitory computer-readable medium for a low power surveillance system, the computer program product comprising:

a non-transitory computer-readable medium having executable instructions, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of:
receiving a series of frames from a camera, each frame having a background and a foreground;
generating a background template from the series of frames;
receiving a new image frame of the scene, the new image frame having a background and a foreground;
detecting an intruder image in the foreground of the new image frame;
combining the intruder image with the background template to reconstruct the foreground;
and
wherein in detecting an intruder image in the foreground, the foreground is detected using a convex optimization, as follows:
min
e
⁢

Φ
⁢
⁢
e
-
y

2
+
α
⁢

e

1
,
where Φ denotes a measurement matrix, and where e denotes a sparse component in the new image frame d, where y=Φd, and where α denotes a low rank background.

26 more elements

Dependencies are inferred from the claim text.

Low power surveillance camera system for intruder detection

Life of this patent

Low power surveillance camera system for intruder detection

Life of this patent

Abstract

Claims18