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METHOD AND APPARATUS FOR OBJECT TRACKING USING STEREO FEATURE MATCHING

机译:利用立体特征匹配进行目标跟踪的方法和装置

摘要

An object tracking method which uses a matching of space time feature points and an apparatus thereof are disclosed. The object tracking apparatus using the matching of the time space feature points according to an embodiment of the present invention includes: a candidate area setting unit which sets an area (a first searching area) which detects an object which is a tracking object in any one image (a first image) between a left image and a right image which are inputted by a stereo camera; a time image feature point extracting unit which extracts feature points within a region-of-interest (POI) of a previous frame and the first searching area; an ROI estimating unit which estimates an ROI in the first image through a matching of the feature points between time images; a space image feature point extracting unit which sets a second searching area in the other image (a second image) between the left and right images based on the ROI of the first image and extracts feature points in the second searching area; and a space image feature point matching unit which extracts a feature point which is matched with the feature points which are extracted from the second searching area among the feature points extracted in the ROI of the first image through a feature point matching between space images. [Reference numerals] (10) Preprocessing unit; (20) Candidate area setting unit; (30, 50) Time image feature point extracting unit; (40) ROI estimating unit; (60) Space image feature point matching unit; (70) Distance estimating unit; (AA) Left and right images
机译:公开了一种使用时空特征点的匹配的物体跟踪方法及其设备。根据本发明的实施例的使用时空特征点的匹配的物体跟踪装置包括:候选区域设置单元,其设置检测在任何一个中是追踪对象的物体的区域(第一搜索区域)。立体摄像机输入的左图像和右图像之间的图像(第一图像);时间图像特征点提取单元,其提取前一帧的兴趣区域(POI)和第一搜索区域内的特征点; ROI估计单元,其通过时间图像之间的特征点的匹配来估计第一图像中的ROI;空间图像特征点提取单元,其基于第一图像的ROI在左右图像之间设置另一个图像(第二图像)中的第二搜索区域,并提取第二搜索区域中的特征点;空间图像特征点匹配单元,其通过空间图像之间的特征点匹配来提取与在第一图像的ROI中提取的特征点之中的,从第二搜索区域提取的特征点匹配的特征点。 [附图标记](10)预处理单元; (20)候选区域设置单元; (30、50)时间图像特征点提取单元; (40)投资回报率估算单元; (60)空间图像特征点匹配单元; (70)距离估算单元; (AA)左右图像

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