Objective: Import videos into MATLAB, annotate and visualize them. The focus is on using system objects for performing iterative computations on video frames.

• Importing and displaying video files
• Highlighting objects by drawing markers and shapes like rectangles
• Combining and overlaying two images
• Performing iterative computations on video frames

Objective: Use corner and blob detectors to detect local features in images. Extract and match features from two images. Use matched features to automatically align and stitch images.

• Detecting and extracting features in an image
• Matching features between two input feature sets
• Estimating geometric transformation between images
• Aligning and stitching images

Objective: Train a detector for flexible object detection. Detect moving objects by using a foreground detector.

• Marking objects of interest in training images
• Training and using the cascaded object detector
• Using foreground detection to detect objects

Objective: Estimate motion in image using different methods like optical flow. Track single and multiple objects and estimate their trajectory. Handle occlusion by predicting object position.

• Estimating motion using block matcher and optical flow
• Tracking objects using histogram of pixel values
• Predicting object position using the Kalman filter
• Tracking multiple objects

Objective: Remove lens distortion from images. Measure size of planar objects.

• Estimating intrinsic, extrinsic and lens distortion parameters of a camera
• Visualizing the calibration error
• Removing lens distortion
• Measuring planar objects in real world units