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首页> 外文会议>2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare >Object recognition for blind people using portable camera
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Object recognition for blind people using portable camera

机译：使用便携式相机的盲人物体识别

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For blind persons it is very essential to recognize a product of their daily use so we implied a method to identify product in their everyday routine by use of camera. To separate a object from un-necessary background, movement based technique is used to spot object of concern from the video by instructing person to shake the object that gives moving object area by K-means clustering background separation technique. After detection of moving area feature extraction SIFT technique is used to take out key points of that product and that key-point is matched with the data base images if it matches efficiently then it identify a product and produce name of that product to blind persons in speech. Instead of OCR we used SIFT because in OCR orientation of camera must be towards label of product and for blind person it is very tough to locate label efficiently whereas in SIFT product orientation is not a big deal as key-points can be matched from any position.
机译：对于盲人来说，识别他们日常使用的产品非常重要，因此我们暗示了一种通过使用相机在他们日常工作中识别产品的方法。为了从不必要的背景中分离出物体，基于运动的技术被用来通过K-means聚类背景分离技术指示人员摇晃给出运动物体区域的物体，从而从视频中识别出关注物体。在检测到运动区域特征提取之后，使用SIFT技术提取该产品的关键点，如果该关键点有效匹配，则该关键点将与数据库图像匹配，然后识别产品并向盲人提供该产品的名称言语。替代OCR，我们使用SIFT，因为相机的OCR方向必须朝向产品的标签，对于盲人来说，很难有效地定位标签，而SIFT的产品方向并不重要，因为关键点可以从任何位置进行匹配。

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