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Method to detect and recognize an object in an image, and an apparatus and a computer program for it

机译:检测和识别图像中的对象的方法,用于该对象的设备和计算机程序

摘要

A method for detecting and recognizing a traffic signal in an image (110) supplied as input, such that the method comprises a preliminary treatment stage (130), a treatment stage (140) and a subsequent treatment stage ( 150), such that said preliminary treatment stage (130) is configured to prepare the image (110) supplied as input for the treatment stage (140), said treatment stage (140) is configured to locate at least one Candidate traffic signal in the pretreated image, and said subsequent processing stage is configured to reject false detections and assign a value indicating the accuracy for the correct detections, so that the treatment stage comprises: identifying characteristic points in the image supplied as input and treated preliminary; construct a descriptor for each characteristic point, such that said descriptor comprises a description of the environment of each characteristic point; providing a library comprising a hierarchy of a plurality of templates corresponding to a plurality of traffic signals, so that each template for each traffic signal comprises a plurality of sub-templates representing a part of the traffic signal; match the descriptors with the sub-templates of the library or with corresponding descriptors deduced from those sub-templates; combine the sub-templates corresponding to the matching descriptors, in order to form a candidate traffic signal; such that the template for a traffic signal comprises an image of that traffic signal and the sub-templates each constitute a different part of that image; said method comprising, additionally: storing, for each match, a position and a scale of the characteristic point for which a corresponding descriptor has been matched with a sub-template; characterized by computing, for each sub-template, a line on which the center of the traffic signal corresponding to that coincidence may be; If the lines for a combination of matches corresponding to the same traffic signal are cut, store the cut-off point of the lines as a possible center if the sizes proposed for that traffic signal, based on the scales stored for matches in that combination , are next; group, once all the combinations of matches corresponding to the same traffic signal have been found, the possible centers, and combine the subplants corresponding to the grouping of possible centers to form the actual candidate traffic signal.
机译:一种用于检测和识别作为输入提供的图像(110)中的交通信号的方法,使得该方法包括初步治疗阶段(130),治疗阶段(140)和后续治疗阶段(150),使得初步治疗阶段(130)被配置为准备提供作为治疗阶段(140)的输入的图像(110),所述治疗阶段(140)被配置为在预处理的图像中定位至少一个候选交通信号,并且所述后续处理阶段被配置为拒绝错误检测并分配指示正确检测的准确性的值,使得处理阶段包括:识别作为输入提供的图像中的特征点并进行初步处理;为每个特征点构造一个描述符,使得所述描述符包括对每个特征点的环境的描述;提供一个库,该库包括对应于多个交通信号的多个模板的层次结构,从而每个交通信号的每个模板包括代表该交通信号的一部分的多个子模板;使描述符与库的子模板匹配,或者与从这些子模板推导出的相应描述符匹配;结合匹配描述符对应的子模板,形成候选交通信号;这样,用于交通信号的模板包括该交通信号的图像,并且子模板各自构成该图像的不同部分;所述方法还包括:对于每个匹配,存储特征点的位置和比例,特征符的位置和比例已经与子模板匹配。其特征在于,对于每个子模板,计算一条线,在该线上对应于该重合的交通信号的中心可以位于其上;如果针对对应于同一交通信号的匹配项组合的线被剪切,则如果基于该组合中为匹配项存储的比例为该交通信号建议的尺寸,则将这些线的截止点存储为可能的中心,接下来;一旦找到对应于相同交通信号的匹配的所有组合,就找到可能的中心,并组合对应于可能中心的分组的子植物,以形成实际的候选交通信号。

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