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1. 发明申请

WO2005081792A3 METHOD, APPARATUS AND PROGRAM FOR DETECTING AN OBJECT 审中-公开
标题翻译：用于检测对象的方法，装置和程序
公开(公告)号：WO2005081792A3
公开(公告)日：2006-09-21
申请号：PCT/US2005003822
申请日：2005-02-07
申请人： HONDA MOTOR CO LTD , YANG MING-HSUAN , LIM JONGWOO , ROSS DAVID A , OHASHI TAKAHIRO
发明人： YANG MING-HSUAN , LIM JONGWOO , ROSS DAVID A , OHASHI TAKAHIRO
IPC分类号： G06K9/36 , G06K9/00 , G06K9/48
CPC分类号： G06K9/00201
摘要： The advantage of the present invention is to appropriately detect the object. The object detection apparatus in the present invention has a plurality of cameras (2) to determine the distance to the objects, a distance determination unit (11) to determine the distance therein, a histogram generation unit (13) to specify the frequency of the pixels against the distances to the pixels, an object distance determination unit (14) that determines the most likely distance, a probability mapping unit (15) that provides the probabilities of the pixels based on the difference of the distance, a kernel detection unit (16a) that determines a kernel region as a group of the pixels, a periphery detection unit (16b) that determines a peripheral region as a group of the pixels, selected from the pixels being close to the kernel region and an object specifying unit (17) that specifies the object region where the object is present with a predetermined probability.
摘要翻译：本发明的优点是适当地检测物体。本发明的物体检测装置具有多个照相机（2），用于确定与物体的距离，距离确定单元（11），用于确定其中的距离;直方图生成单元（13），用于指定相对于像素的距离的像素，确定最可能的距离的对象距离确定单元（14），基于距离的差异提供像素的概率的概率映射单元（15），内核检测单元确定作为像素组的核心区域的周边检测单元（16b），其将周围区域确定为从接近所述核心区域的像素中选择的像素组，以及对象指定单元（17 ）以预定概率指定对象存在的对象区域。

2. 发明申请

WO2005079237A3 FACE RECOGNITION SYSTEM 审中-公开
标题翻译：脸部识别系统
公开(公告)号：WO2005079237A3
公开(公告)日：2007-12-27
申请号：PCT/US2005003818
申请日：2005-02-07
申请人： HONDA MOTOR CO LTD , YANG MING-HSUAN , LIM JONGWOO , ROSS DAVID A , OHASHI TAKAHIRO
发明人： YANG MING-HSUAN , LIM JONGWOO , ROSS DAVID A , OHASHI TAKAHIRO
IPC分类号： G06K9/62 , G06K9/00 , G06K9/68 , G06K9/74
CPC分类号： G06K9/6269 , G06K9/00228 , G06K9/6857
摘要： The face detection system and method attempts classification of a test image before performing all of the kernel evaluations. Many subimages are not faces and should be relatively easy to identify as such. Thus, the SVM classifier try to discard non-face images using as few kernel evaluations as possible using a cascade SVM classification. In the first stage, a score is computed for the first two support vectors, and the score is compared to a threshold. If the score is below the threshold value, the subimage is classified as not a face. If the score is above the threshold value, the cascade SVM classification function continues to apply more complicated decision rules, each time doubling the number of kernel evaluations, classifying the image as a non-face (and thus terminating the process) as soon as the test image fails to satisfy one of the decision rules. Finally, if the subimage has satisfied all intermediary decision rules, and has now reached the point at which all support vectors must be considered, the original decision function is applied. Satisfying this final rule, and all intermediary rules, is the only way for a test image to garner a positive (face) classification.
摘要翻译：面部检测系统和方法在执行所有内核评估之前尝试对测试图像进行分类。许多子图像不是面孔，应该比较容易识别。因此，SVM分类器尝试使用级联SVM分类尽可能少地使用内核评估来丢弃非面部图像。在第一阶段，对前两个支持向量计算分数，并将分数与阈值进行比较。如果分数低于阈值，则子图像被分类为不是脸部。如果分数高于阈值，则级联SVM分类功能继续应用更复杂的决策规则，每次将内核评估的数量加倍，将图像分类为非面（并因此终止进程），一旦测试图像不能满足其中一个决策规则。最后，如果子图像满足了所有的中介决策规则，并且现在已经到了必须考虑所有支持向量的点，则应用原始决策函数。满足这个最终规则和所有中介规则是测试图像获得积极（面部）分类的唯一方法。

3. 发明公开

EP1716519A4 FACE RECOGNITION SYSTEM 审中-公开
标题翻译：人脸识别系统
公开(公告)号：EP1716519A4
公开(公告)日：2008-12-10
申请号：EP05713020
申请日：2005-02-07
申请人： HONDA MOTOR CO LTD
发明人： YANG MING-HSUAN , LIM JONGWOO , ROSS DAVID A , OHASHI TAKAHIRO
IPC分类号： G06K9/62 , G06K9/00 , G06K9/68 , G06K9/74
CPC分类号： G06K9/6269 , G06K9/00228 , G06K9/6857
摘要： The face detection system and method attempts classification of a test image before performing all of the kernel evaluations. Many subimages are not faces and should be relatively easy to identify as such. Thus, the SVM classifier try to discard non-face images using as few kernel evaluations as possible using a cascade SVM classification. In the first stage, a score is computed for the first two support vectors, and the score is compared to a threshold. If the score is below the threshold value, the subimage is classified as not a face. If the score is above the threshold value, the cascade SVM classification function continues to apply more complicated decision rules, each time doubling the number of kernel evaluations, classifying the image as a non-face (and thus terminating the process) as soon as the test image fails to satisfy one of the decision rules. Finally, if the subimage has satisfied all intermediary decision rules, and has now reached the point at which all support vectors must be considered, the original decision function is applied. Satisfying this final rule, and all intermediary rules, is the only way for a test image to garner a positive (face) classification.

4. 发明公开

EP1725975A4 METHOD, APPARATUS AND PROGRAM FOR DETECTING AN OBJECT 有权
标题翻译：方法，设备和程序用于检测对象
公开(公告)号：EP1725975A4
公开(公告)日：2007-03-21
申请号：EP05713022
申请日：2005-02-07
申请人： HONDA MOTOR CO LTD
发明人： YANG MING-HSUAN , LIM JONGWOO , ROSS DAVID A , OHASHI TAKAHIRO
IPC分类号： G06K9/36 , G06K9/00 , G06K9/48
CPC分类号： G06K9/00201
摘要： The advantage of the present invention is to appropriately detect the object. The object detection apparatus in the present invention has a plurality of cameras to determine the distance to the objects, a distance determination unit to determine the distance therein, a histogram generation unit to specify the frequency of the pixels against the distances to the pixels, an object distance determination unit that determines the most likely distance, a probability mapping unit that provides the probabilities of the pixels based on the difference of the distance, a kernel detection unit that determines a kernel region as a group of the pixels, a periphery detection unit that determines a peripheral region as a group of the pixels, selected from the pixels being close to the kernel region and an object specifying unit that specifies the object region where the object is present with a predetermined probability.

5. 发明专利

DE602005007583D1 未知
公开(公告)号：DE602005007583D1
公开(公告)日：2008-07-31
申请号：DE602005007583
申请日：2005-02-07
申请人： HONDA MOTOR CO LTD
发明人： YANG MING-HSUAN , LIM JONGWOO , ROSS DAVID A , OHASHI TAKAHIRO
IPC分类号： G06K9/36 , G06K9/00 , G06K9/48
摘要： The advantage of the present invention is to appropriately detect the object. The object detection apparatus in the present invention has a plurality of cameras to determine the distance to the objects, a distance determination unit to determine the distance therein, a histogram generation unit to specify the frequency of the pixels against the distances to the pixels, an object distance determination unit that determines the most likely distance, a probability mapping unit that provides the probabilities of the pixels based on the difference of the distance, a kernel detection unit that determines a kernel region as a group of the pixels, a periphery detection unit that determines a peripheral region as a group of the pixels, selected from the pixels being close to the kernel region and an object specifying unit that specifies the object region where the object is present with a predetermined probability.

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