Moving Object Detection for Blind People

Abstract

The proposed method is applicable for indoor and outdoor environment to visualize object for blind people. It has different application in object acknowledgement and video trail recommender system. The estimated number of people visually slain in the world is 285 million, 39 million people are blind and 246 million people having little vision; 65 % of people are visually slain and 82 % of all blind are 50 years older. It transformed the visual world to the blind peoples and give the information about the objects around them as well as the location of those objects can detect any object from any video scenery or from an image with a background containing various color providing by their names. This is an important technic in the field of object detection to detect any object by video images processing and divide into segment by using background subtraction. Segmentation is very important for detecting any feature from any object that condition is moving. We use sensors to measure distances. Firstly we took some video and divide them some steps then we use some method to implements the paper. Detect image are depends on an image’s c so that we try to make all image’s in same size because sensors are detected same size image. Here when an object stands minimum distance then sensor work to observe this object. We develop our project by testing some important experiments.