Video and Image Processing Blockset 2.8

Surveillance Recording

Security concerns mandate continuous monitoring of important locations using video cameras. To efficiently record, review, and archive this massive amount of data, you can either reduce the video frame size or reduce the total number of video frames you record. This demo uses the Video and Image Processing Blockset™ to demonstrate the latter approach. In it, motion in the camera's field of view triggers the capture of "interesting" video frames.

Watch the Surveillance Recording demo.

Contents

Demo Model

The following figure shows the Surveillance Recording model:

Motion Energy Subsystem

The demo uses the 2-D SAD block to detect motion in the video sequence. When the sum of absolute differences (SAD) value of a particular frame exceeds a threshold, the demo records this video frame and displays it in the Motion Frames window.

Surveillance Recording Results

The Motion Threshold window displays the threshold value in magenta, and plots the SAD values for each frame in yellow. Any time the SAD value exceeds the threshold, the model records the video frame.

The Original frames window shows a frame of the original video.

The Motion frames window shows the last recorded video frame. In this window, the Source frame value steadily increases as the video runs and the Captured frame value indicates the total number of frames recorded by the model.

Available Demo Versions

Floating-point: vipsurveillance.mdl

Fixed-point: vipsurveillance_fixpt.mdl