Honeywell International Inc.

Mohamed M Ibrahim

Lokesh Rayasandra Boregowda

Anupama Rajagopal

Muralidhar N Chowdary

A method for the detection of motion in video data is disclosed. In an embodiment, a method uses a background technique for the motion detection. In another embodiment, a Gaussian Mixture Model is applied to a neighborhood or block of pixels within an image frame, thereby identifying background and foreground in the image based on said blocks.

Block-based Gaussian mixture model video motion detection

In an embodiment, a novel, scene adaptive, robust shadow detection method has been disclosed. An adaptive division image analysis compares one or more images containing objects and shadows to a reference image that is void of the objects and shadows. Ratios are calculated comparing the frame with shadows and/or objects to the reference frame. Shadows are identified by identifying pixels that fall within a certain range of these ratios. In another embodiment, projection histograms are used to identify the penumbra region of shadows in the image.

Shadow detection in images

A fire detection system has a video sensor, a processor, and a database. The database has a statistical model representing the characteristics of a fire. The video sensor captures images, and sends the images to the processor. The processor computes statistics on the characteristics of the captured image, and compares it to the statistical model to determine if a fire is present in the captured image.

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Kayalpatnam, India

Mohamed M Ibrahim