Object Detection and Machine Learning

In this chapter, we will cover the following recipes:

• Obtaining an object mask using the GrabCut algorithm
• Finding edges using the Canny algorithm
• Detecting lines and circles using the Hough transform
• Finding objects via template matching
• The real-time median-flow object tracker
• Tracking objects using different algorithms via the tracking API
• Computing the dense optical flow between two frames
• Detecting chessboard and circle grid patterns
• A simple pedestrian detector using the SVM model
• Optical character recognition using different machine learning models
• Detecting faces using Haar/LBP cascades
• Detecting AruCo patterns for AR applications
• Detecting text in natural scenes
• The QR code detector and recognizer