Visual Perception

Columbia University via Coursera

Go to Course: https://www.coursera.org/learn/perception

Introduction

Design algorithms for detecting meaningful changes in a scene

Develop methods for tracking objects in a video while the object undergoes changes in pose and illumination

Learn several approaches to segmenting an image into meaningful regions

Create an end-to-end pipeline for learning and recognizing objects based on their visual appearance

Syllabus

Getting Started: Visual Perception

Object Tracking

Image Segmentation

Appearance Matching

Neural Networks

Overview

The ultimate goal of a computer vision system is to generate a detailed symbolic description of each image shown. This course focuses on the all-important problem of perception. We first describe the problem of tracking objects in complex scenes. We look at two key challenges in this context. The first is the separation of an image into object and background using a technique called change detection. The second is the tracking of one or more objects in a video. Next, we examine the problem of

Skills

Reviews

Amazing course , Well explained and interesting assignments!!!