公开(公告)号：US09977972B2

公开(公告)日：2018-05-22

申请号：US14519927

申请日：2014-10-21

Applicant: SRI International

Inventor： Saad Masood Khan ,  Hui Cheng ,  Dennis Lee Matthies ,  Harpreet Singh Sawhney ,  Sang-Hack Jung ,  Chris Broaddus ,  Bogdan Calin Mihai Matei ,  Ajay Divakaran

IPC: G06K9/00 ,  G06K9/46 ,  B64C39/02 ,  B64D47/08 ,  G06K9/62 ,  G06T7/20 ,  G06T7/11

CPC classification number: G06K9/00785 ,  B64C39/024 ,  B64C2201/123 ,  B64D47/08 ,  G06K9/00651 ,  G06K9/4671 ,  G06K9/6269 ,  G06K9/6282 ,  G06T7/11 ,  G06T7/20 ,  G06T2207/10012

Abstract: A computer implemented method for determining a vehicle type of a vehicle detected in an image is disclosed. An image having a detected vehicle is received. A number of vehicle models having salient feature points is projected on the detected vehicle. A first set of features derived from each of the salient feature locations of the vehicle models is compared to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a set of positive match scores (p-scores) and a set of negative match scores (n-scores). The detected vehicle is classified as one of the vehicle models based at least in part on the set of p-scores and the set of n-scores.

公开(公告)号：US08860813B2

公开(公告)日：2014-10-14

申请号：US13711220

申请日：2012-12-11

Applicant: SRI International

Inventor： Sang-Hack Jung ,  Ajay Divakaran ,  Harpreet Singh Sawhney

IPC: H04N7/18

CPC classification number: G06K9/00771 ,  G06K9/6206 ,  G06K9/6211

Abstract: A computer-implemented method for matching objects is disclosed. At least two images where one of the at least two images has a first target object and a second of the at least two images has a second target object are received. At least one first patch from the first target object and at least one second patch from the second target object are extracted. A distance-based part encoding between each of the at least one first patch and the at least one second patch based upon a corresponding codebook of image parts including at least one of part type and pose is constructed. A viewpoint of one of the at least one first patch is warped to a viewpoint of the at least one second patch. A parts level similarity measure based on the view-invarient distance measure for each of the at least one first patch and the at least one second patch is applied to determine whether the first target object and the second target object are the same or different objects.

Abstract translation: 公开了一种用于匹配对象的计算机实现的方法。 接收至少两个图像，其中至少两个图像中的一个具有第一目标对象，并且至少两个图像中的第二图像具有第二目标对象。 提取来自第一目标对象的至少一个第一补丁和来自第二目标对象的至少一个第二补丁。 构建基于包括部件类型和姿态中的至少一个的图像部件的对应码本的至少一个第一贴片和至少一个第二贴片中的每一个之间的基于距离的部件编码。 所述至少一个第一贴片中的一个的视点弯曲到所述至少一个第二贴片的观点。 应用基于对于至少一个第一贴片和至少一个第二贴片中的每一个的视野不变距离度量的零件级相似性度量来确定第一目标对象和第二目标对象是相同还是不同的对象。

公开(公告)号：US20160379062A1

公开(公告)日：2016-12-29

申请号：US14519927

申请日：2014-10-21

Applicant: SRI International

Inventor： Saad Masood Khan ,  Hui Cheng ,  Dennis Lee Matthies ,  Harpreet Singh Sawhney ,  Sang-Hack Jung ,  Chris Broaddus ,  Bogdan Calin Mihai Matei ,  Ajay Divakaran

IPC: G06K9/00 ,  G06T7/20 ,  B64D47/08 ,  G06K9/46 ,  B64C39/02 ,  G06T7/00 ,  G06K9/62

CPC classification number: G06K9/00785 ,  B64C39/024 ,  B64C2201/123 ,  B64D47/08 ,  G06K9/00651 ,  G06K9/4671 ,  G06K9/6269 ,  G06K9/6282 ,  G06T7/11 ,  G06T7/20 ,  G06T2207/10012

Abstract: A computer implemented method for determining a vehicle type of a vehicle detected in an image is disclosed. An image having a detected vehicle is received. A number of vehicle models having salient feature points is projected on the detected vehicle. A first set of features derived from each of the salient feature locations of the vehicle models is compared to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a set of positive match scores (p-scores) and a set of negative match scores (n-scores). The detected vehicle is classified as one of the vehicle models models based at least in part on the set of p-scores and the set of n-scores.

Abstract translation: 公开了一种用于确定在图像中检测到的车辆的车辆类型的计算机实现的方法。 接收具有检测到的车辆的图像。 在检测到的车辆上投影出具有显着特征点的多个车辆模型。 将来自车辆模型的每个突出特征位置的第一组特征与从所检测到的车辆的相应突出特征位置导出的第二组特征进行比较，以形成一组正的匹配得分（p分数）和 一组负面比赛得分（n分）。 检测到的车辆至少部分地基于p分数集合和n分数集合被分类为车辆模型模型之一。