Electronics Project:Object Recognition

Identification of object or its location in a stored movie/ live webcam:

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, robot navigation, medical diagnosis, security, industrial inspection and automation.

This project recognizes/identifies the object or its location in the video file provides or through live webcam video.