Optical compressive change and motion detection

Optical compressive change and motion detection.

Localization information of moving and changing objects, as commonly extracted from video sequences, is typically very sparse with respect to the full data frames, thus fulfilling one of the basic conditions of compressive sensing theory. Motivated by this observation, we developed an optical compressive change and motion-sensing technique that detects the location of moving objects by using a ...

Motion Detection and Optical Flow

In this paper Ransac algorithm is used to detect the motion is happened or not and this is by finding out the matching features between the two images. And then finding out the motion using optical flow algorithm. A common problem of optical flow judgment is fine motion structures cannot always be correctly estimated, especially for regions with significant and abrupt displacement variation. To...

Integrated Optical Motion Detection

Two systems for detecting the motion of a scene are described. For both, an image is projected directly onto an integrated circuit that contains photosensors and computing circuitry to extract the motion. The first system, which has been reported earlier, correlates the analog image with a digitized version of the image stored from the previous cycle. The chip reports the motion that correspond...

Motion-Segmentation-Based Change Detection

Detecting regions of change in images of the same scene taken at different times is of widespread interest. Important applications of change detection include video surveillance, remote sensing, medical diagnosis and treatment. Change detection usually involves image registration, which is aimed at removing meaningless changes caused by camera motion. Image registration is a hard problem due to...

Block-wise motion detection using compressive imaging system