Object Detection for Dummies Part 1: Gradient Vector, HOG, and SS

Lilian Weng · 8 years ago

A beginner's guide post introduces foundational concepts in object detection for computer vision, covering gradient vectors, HOG (Histogram of Oriented Gradients), and image segmentation methods without using deep neural networks. The article promises subsequent parts will cover deep learning approaches to object detection in parts 2 and 3. This is primarily an educational explanation of classical computer vision techniques rather than reporting on new developments or research.