Computer Vision System Toolbox
Description
- Overview and Key Features
- Feature Detection and Extraction
- Registration and Stereo Vision
- Object Detection, Motion Estimation, and Tracking
- Video Processing, Display, and Graphics
- Stream Processing in MATLAB and Simulink
- System Design and Implementation
Overview
Computer Vision System Toolbox™ provides algorithms and tools for the design and simulation of computer vision and video processing systems. The toolbox includes algorithms for feature extraction, motion detection, object detection, object tracking, stereo vision, video processing, and video analysis. Tools include video file I/O, video display, drawing graphics, and compositing. Capabilities are provided as MATLAB® functions, MATLAB System objects, and Simulink® blocks. For rapid prototyping and embedded system design, the system toolbox supports fixed-point arithmetic and C-code generation.
Key Features
- Feature detection, including FAST, Harris, Shi & Tomasi, SURF, and MSER detectors
- Feature extraction and putative feature matching
- Object detection and tracking, including Viola-Jones detection and CAMShift tracking
- Motion estimation, including block matching, optical flow, and template matching
- RANSAC-based estimation of geometric transformations or fundamental matrices
- Video processing, video file I/O, video display, graphic overlays, and compositing
- Block library for use in Simulink
