Object recognition is a process for identifying a specific object in a digital image or video. Object recognition algorithms rely on matching or learning algorithms using appearance-based or feature-based techniques. Common techniques include edges, gradients, Histogram of Oriented Gradients (HOG), Haar wavelets, and linear binary patterns. Object recognition is useful in applications such as video stabilization, automated vehicle parking systems, and cell counting in bioimaging.
See also: Steve on Image Processing, image recognition, image and video processing, object detection, face recogniton, MATLAB and OpenCV, Feature Extraction, Stereo Vision, Optical Flow, ransac, pattern recognition