Dalal and Triggs

Dalal and Triggs developed a method called Histogram of Oriented Gradients (HOG), which is used in computer vision to detect humans in images or videos. It works by analyzing local features like edges and shapes, capturing the way light and dark areas change as you move around a person. These patterns are then summarized into histograms, creating a distinctive "signature" for human figures. This approach allows computer systems to reliably recognize people even in different poses or environments, making it useful for security, surveillance, and various image analysis applications.