![]() Video: Example 2: Object Detection and Tracking Using Color It is then used to detect objects in other images.įace and eye detection by the camera using haar cascade algorithm. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. Object Detection using Haar feature-based cascade classifiers is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. Object detection examples with haar cascade classifier algorithm (Face, eyes, mouth, other objects etc.). Source code location: src/FaceAndEyeDetection/ Deep Learning - Object detection with deep neural network (DNN).Template Matching - Object detection with template matching.Color Detection - Object detection and tracking using object color.Haar Cascade - Object detection face and eye etc.There are three examples in the repository. ![]() ![]() ![]() Image Processing and Computer Vision Documentation Project (EN, TR) ![]()
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