Video and Image Processing Blockset 3.1

Video Processing and Computer Vision

Video Processing

Video and Image Processing Blockset contains video-specific algorithms, including motion analysis techniques such as optical flow, block matching, and template matching. With the blockset, you can:

• Deinterlace video coming from interlaced cameras
• Implement video compression algorithms
• Convert between standard video formats
• Stabilize video from a moving camera

Output of a video stabilization model in Simulink. Camera motion is removed by searching for a target in a region of interest and shifting the frame appropriately.

Computer Vision

Video and Image Processing Blockset includes a number of algorithms, workflows, and tools for computer vision. In-product demos show how to build systems for specific topics in computer vision. With the blockset, you can:

• Develop systems for people detection and tracking
• Perform scene reconstruction using a pair of stereo images
• Perform video mosaicking to form a comprehensive view of a scene
• Develop lane departure warning algorithms for automotive safety systems
• Inspect parts on an assembly line

Reconstructing a scene using a pair of stereo images. In order to visualize the disparity, the right channel (top left) is combined with the left channel to create a composite (top right). A depthmap of the scene (bottom left) is then derived, and a 3D rendering of the scene (bottom right) reconstructed from depth information.