项目作者： Mostafa-wael
项目描述 ：
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. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images.
高级语言： Jupyter Notebook
项目地址: git://github.com/Mostafa-wael/Analyzing-videos-and-images-using-Cascade-Classifiers.git
