公开(公告)号：US20130235209A1

公开(公告)日：2013-09-12

申请号：US13537056

申请日：2012-06-29

申请人： Ho-Hsin Lee ,  Jian-Ren Chen ,  Chieh-Chen Cheng ,  Yueh-Hsun Hsieh

发明人： Ho-Hsin Lee ,  Jian-Ren Chen ,  Chieh-Chen Cheng ,  Yueh-Hsun Hsieh

IPC分类号： H04N7/18

CPC分类号： H04N5/765 ,  H04N5/781 ,  H04N9/8211 ,  H04N21/2187 ,  H04N21/23103 ,  H04N21/24 ,  H04N21/4425

摘要： A system and a method for dispatching of video recording are provided. In the method, one or more video recording servers having an available CPU utilization larger than an average CPU loading per task is found from one or more video recording servers having a task capability greater than zero. One of the found one or more video recording servers is selected to execute a video recording task whose execution status is indicated as unexecuted in a video recording task status table.

摘要翻译： 提供了一种用于调度视频记录的系统和方法。 在该方法中，从具有任务能力大于零的一个或多个视频记录服务器中可以找到具有大于每个任务的平均CPU负载的可用CPU利用率的一个或多个视频记录服务器。 选择所发现的一个或多个视频记录服务器中的一个执行视频记录任务，其执行状态在视频记录任务状态表中被指示为未执行。

公开(公告)号：US20120166080A1

公开(公告)日：2012-06-28

申请号：US13163753

申请日：2011-06-20

申请人： Shang-Chih Hung ,  Yi-Fei Luo ,  Jian-Ren Chen ,  Luke Chen ,  Chieh-Chen Cheng

发明人： Shang-Chih Hung ,  Yi-Fei Luo ,  Jian-Ren Chen ,  Luke Chen ,  Chieh-Chen Cheng

IPC分类号： G01C21/34

CPC分类号： G08G1/0175 ,  G08G1/20 ,  H04N7/18

摘要： A method, a system and a computer-readable medium for reconstructing a vehicle moving path are provided. In the method, a plurality of vehicle recognition results of a plurality of first monitoring frames captured by a plurality of first type road monitors are received and compared to find at least one similar vehicle. Next, according to a disposition location of each first road monitor and the comparison result of each vehicle, at least one passing spot and a driving time that each vehicle moves between the disposition locations are estimated. Then, tracking data of at least one moving object appeared in multiple second monitoring frames captured by multiple second type road monitors disposed in the passing spots is inquired. Finally, the vehicles are compared with the tracked moving objects to find the moving object associated with each vehicle, so as to construct a complete moving path of each vehicle.

摘要翻译： 提供了一种用于重建车辆移动路径的方法，系统和计算机可读介质。 在该方法中，接收并比较由多个第一类道路监视器捕获的多个第一监视帧的多个车辆识别结果，以找到至少一个类似的车辆。 接下来，根据每个第一道路监视器的配置位置和每个车辆的比较结果，估计每个车辆在配置位置之间移动的至少一个通过点和行驶时间。 然后，询问在多个第二监视帧中出现的多个第二监视帧中的至少一个移动对象的跟踪数据，该多个第二监视帧被设置在通过点中的多个第二类型的路 最后，将车辆与跟踪的移动物体进行比较，以找到与每个车辆相关联的运动物体，以构建每个车辆的完整移动路径。

公开(公告)号：US20120275653A1

公开(公告)日：2012-11-01

申请号：US13095925

申请日：2011-04-28

申请人： Pei-Lun Hsieh ,  Hong-Yuan Mark Liao ,  Chung-Chia Kang ,  Ho-Hsin Lee ,  Chih-Wei Chen ,  Jian-Ren Chen ,  Yi-Fei Luo

发明人： Pei-Lun Hsieh ,  Hong-Yuan Mark Liao ,  Chung-Chia Kang ,  Ho-Hsin Lee ,  Chih-Wei Chen ,  Jian-Ren Chen ,  Yi-Fei Luo

IPC分类号： G06K9/00

CPC分类号： G06K9/325 ,  G06K2209/15

摘要： A computer implemented method for recognizing license plate image, and related computer product, computer-readable recording medium, and image recognizing apparatus using the same is provided. The method includes collecting a plurality of character template images and respectively homogenizing the character template images to generate a plurality of simulated character template images based on the license plate image. The method also includes respectively generating a plurality of similarity degrees corresponding to the simulated character template images by comparing the simulated character template images with the license plate image. The method further includes estimating at least one candidate character corresponding to the license plate image and at least one candidate character position corresponding to the at least one candidate character according to the similarity degrees corresponding to the simulated character template images. Accordingly, the method can effectively recognize license plate numbers in a license plate image.

摘要翻译： 提供了一种用于识别车牌图像的计算机实现方法，以及相关的计算机产品，计算机可读记录介质和使用其的图像识别装置。 该方法包括收集多个字符模板图像，并分别使字符模板图像均匀化，以基于车牌图像生成多个模拟字符模板图像。 该方法还包括通过将模拟字符模板图像与车牌图像进行比较来分别生成与模拟字符模板图像相对应的多个相似度。 该方法还包括根据对应于模拟字符模板图像的相似度，估计对应于车牌图像的至少一个候选人物和与至少一个候选人物对应的至少一个候选人物位置。 因此，该方法能够有效地识别车牌图像中的车牌号码。

公开(公告)号：US20110140892A1

公开(公告)日：2011-06-16

申请号：US12839425

申请日：2010-07-20

申请人： Jian-Ren Chen ,  Leii H. Chang ,  Ho-Hsin Lee ,  Yi-Fei Luo ,  Chii-Yah Yuan

发明人： Jian-Ren Chen ,  Leii H. Chang ,  Ho-Hsin Lee ,  Yi-Fei Luo ,  Chii-Yah Yuan

IPC分类号： G08B13/22 ,  H04N7/18 ,  G06K9/62

CPC分类号： H04N7/181 ,  G08B13/19602 ,  G08B13/19645

摘要： A system and a method for detecting multi-level intrusion events are provided. The system includes an area recognition module and an area classification module. The area recognition module performs a geometric topology operation to recognize a plurality of areas in a ground plane that has a plurality of boundaries and a plurality of gates, and each of the areas is constituted of at least one of the boundaries and at least one of the gates. The area classification module defines a plurality of security levels and classifies each of the areas recognized by the area recognition module as one of the security levels. Accordingly, the system is able to automatically recognize the areas in the ground plane, set the security levels of the areas, and generate the corresponding detection areas and tripwires according to the security levels of the areas.

摘要翻译： 提供了一种用于检测多级入侵事件的系统和方法。 该系统包括区域识别模块和区域分类模块。 区域识别模块执行几何拓扑操作以识别具有多个边界和多个门的接地平面中的多个区域，并且每个区域由以下各项中的至少一个构成：边界和 大门。 区域分类模块定义多个安全级别，并将区域识别模块识别的区域中的每一个区分为安全级别之一。 因此，系统能够自动识别地面中的区域，设置区域的安全级别，并根据区域的安全级别生成相应的检测区域和Tripwire。

公开(公告)号：US20120154604A1

公开(公告)日：2012-06-21

申请号：US13242268

申请日：2011-09-23

申请人： Jian-Ren Chen ,  Chung-Chia Kang ,  Leii H. Chang ,  Ho-Hsin Lee ,  Yi-Fei Luo

发明人： Jian-Ren Chen ,  Chung-Chia Kang ,  Leii H. Chang ,  Ho-Hsin Lee ,  Yi-Fei Luo

IPC分类号： H04N17/00

CPC分类号： H04N17/002 ,  G06T7/80 ,  G06T2207/30232

摘要： The invention discloses a camera recalibration system and the method thereof. The camera recalibration system includes a first camera, which is to be recalibrated, for capturing image; an image processing unit comprising a storage unit for storing a first image and a second image, the second image being captured by the first camera; and a computing unit for measuring camera motion from the first image to the second image and computing calibration information corresponding to the camera motion; and a display unit for presenting the calibration information.

摘要翻译： 本发明公开了一种摄像机重新校准系统及其方法。 相机重新校准系统包括要被重新校准的用于捕获图像的第一相机; 图像处理单元，包括用于存储第一图像和第二图像的存储单元，所述第二图像由所述第一相机捕获; 以及计算单元，用于测量从第一图像到第二图像的相机运动并计算与相机运动相对应的校准信息; 以及用于呈现校准信息的显示单元。

公开(公告)号：US08552862B2

公开(公告)日：2013-10-08

申请号：US12839425

申请日：2010-07-20

申请人： Jian-Ren Chen ,  Leii H. Chang ,  Ho-Hsin Lee ,  Yi-Fei Luo ,  Chii-Yah Yuan

发明人： Jian-Ren Chen ,  Leii H. Chang ,  Ho-Hsin Lee ,  Yi-Fei Luo ,  Chii-Yah Yuan

IPC分类号： G08B13/00

CPC分类号： H04N7/181 ,  G08B13/19602 ,  G08B13/19645

摘要： A system and a method for detecting multi-level intrusion events are provided. The system includes an area recognition module and an area classification module. The area recognition module performs a geometric topology operation to recognize a plurality of areas in a ground plane that has a plurality of boundaries and a plurality of gates, and each of the areas is constituted of at least one of the boundaries and at least one of the gates. The area classification module defines a plurality of security levels and classifies each of the areas recognized by the area recognition module as one of the security levels. Accordingly, the system is able to automatically recognize the areas in the ground plane, set the security levels of the areas, and generate the corresponding detection areas and tripwires according to the security levels of the areas.

摘要翻译： 提供了一种用于检测多级入侵事件的系统和方法。 该系统包括区域识别模块和区域分类模块。 区域识别模块执行几何拓扑操作以识别具有多个边界和多个门的接地平面中的多个区域，并且每个区域由以下各项中的至少一个构成：边界和 大门。 区域分类模块定义多个安全级别，并将区域识别模块识别的区域中的每一个区分为安全级别之一。 因此，系统能够自动识别地面中的区域，设置区域的安全级别，并根据区域的安全级别生成相应的检测区域和Tripwire。

公开(公告)号：US08818050B2

公开(公告)日：2014-08-26

申请号：US13431993

申请日：2012-03-28

申请人： Chung-Chia Kang ,  Jian-Ren Chen ,  Chih-Wei Chen ,  Leii H. Chang

发明人： Chung-Chia Kang ,  Jian-Ren Chen ,  Chih-Wei Chen ,  Leii H. Chang

IPC分类号： G06K9/00

CPC分类号： G06K9/00268 ,  G06K9/6255

摘要： A method and a system for recognizing at least one testing image according to classes are provided, wherein each of the classes includes sample images. The method includes generating an average image of each class according to the sample images, generating a feature enhancement mask according to differences between the average images of the classes, enhancing the sample images of each class by using the feature enhancement mask to generate a plurality of enhanced sample images corresponding to each class, and training a classifier according to the enhanced sample images of each class. The method also includes enhancing the at least one testing image by using the feature enhancement mask to generate an enhanced testing image, classifying the enhanced testing image into one of the classes by using the classifier, and recognizing that the testing image belongs to the classified class. Thereby, this method can effectively recognize the testing image.

摘要翻译： 提供了一种用于根据类识别至少一个测试图像的方法和系统，其中每个类包括样本图像。 该方法包括根据样本图像生成每个类的平均图像，根据类的平均图像之间的差异生成特征增强掩模，通过使用特征增强掩模来增强每个类的样本图像，以生成多个 对应于每个类的增强的样本图像，并且根据每个类的增强的样本图像训练分类器。 该方法还包括通过使用特征增强掩模来增强至少一个测试图像以生成增强的测试图像，通过使用分类器将增强的测试图像分类为类之一，并且识别测试图像属于分类的类 。 因此，该方法可以有效地识别测试图像。

公开(公告)号：US20080117050A1

公开(公告)日：2008-05-22

申请号：US11753844

申请日：2007-05-25

申请人： Cheng-Hsuan Wu ,  Jiunn-Tsair Chen ,  Shu-Hsien Wang ,  Jian-Ren Chen

发明人： Cheng-Hsuan Wu ,  Jiunn-Tsair Chen ,  Shu-Hsien Wang ,  Jian-Ren Chen

IPC分类号： G08B13/14

CPC分类号： G06K17/0022

摘要： A wireless radio frequency identification (RFID) system is provided. The wireless RFID system includes at least one passive RFID tag, at least one active RFID tag and at least one sink apparatus. The active RFID tag transmits a wireless query signal to detect whether the passive RFID tag and /or other active RFID tags are in its scanning range according to a transmission specification. Moreover, the active RFID tag collects the detecting result into an inventory data, converts itself to one passive RFID tag, and transmits the inventory data to other active RFID tags utilizing the same method. Then, an identification data in the passive RFID tag and /or the inventory data in the active RFID tag are read by the sink apparatus according to the above-mentioned transmission specification. Therefore, the wireless RFID only uses a signal transmission specification to route the data back to the sink apparatus.

摘要翻译： 提供无线射频识别（RFID）系统。 无线RFID系统包括至少一个无源RFID标签，至少一个有源RFID标签和至少一个信宿设备。 有源RFID标签根据传输规范发送无线查询信号以检测无源RFID标签和/或其他有源RFID标签是否处于其扫描范围。 此外，有源RFID标签将检测结果收集到库存数据中，将其自身转换成一个无源RFID标签，并使用相同的方法将库存数据传送到其他有源RFID标签。 然后，根据上述传输规范，由宿设备读取无源RFID标签中的识别数据和/或有源RFID标签中的清单数据。 因此，无线RFID仅使用信号传输规范将数据路由回宿设备。

公开(公告)号：US20130156301A1

公开(公告)日：2013-06-20

申请号：US13431993

申请日：2012-03-28

申请人： Chung-Chia Kang ,  Jian-Ren Chen ,  Chih-Wei Chen ,  Leii H. Chang

发明人： Chung-Chia Kang ,  Jian-Ren Chen ,  Chih-Wei Chen ,  Leii H. Chang

IPC分类号： G06K9/62

CPC分类号： G06K9/00268 ,  G06K9/6255

摘要： A method and a system for recognizing at least one testing image according to classes are provided, wherein each of the classes includes sample images. The method includes generating an average image of each class according to the sample images, generating a feature enhancement mask according to differences between the average images of the classes, enhancing the sample images of each class by using the feature enhancement mask to generate a plurality of enhanced sample images corresponding to each class, and training a classifier according to the enhanced sample images of each class. The method also includes enhancing the at least one testing image by using the feature enhancement mask to generate an enhanced testing image, classifying the enhanced testing image into one of the classes by using the classifier, and recognizing that the testing image belongs to the classified class. Thereby, this method can effectively recognize the testing image.

摘要翻译： 提供了一种用于根据类识别至少一个测试图像的方法和系统，其中每个类包括样本图像。 该方法包括根据样本图像生成每个类的平均图像，根据类的平均图像之间的差异生成特征增强掩模，通过使用特征增强掩模来增强每个类的样本图像，以生成多个 对应于每个类的增强的样本图像，并且根据每个类的增强的样本图像训练分类器。 该方法还包括通过使用特征增强掩模来增强至少一个测试图像以生成增强的测试图像，通过使用分类器将增强的测试图像分类为类之一，并且识别测试图像属于分类的类 。 因此，该方法可以有效地识别测试图像。

公开(公告)号：US08244002B2

公开(公告)日：2012-08-14

申请号：US12563329

申请日：2009-09-21

申请人： Jian-Ren Chen ,  Leii H. Chang ,  Yi-Fei Luo

发明人： Jian-Ren Chen ,  Leii H. Chang ,  Yi-Fei Luo

IPC分类号： G06K9/00 ,  G06F21/00

CPC分类号： G06K9/00979 ,  G06K9/00288

摘要： A system and a method for performing rapid facial recognition are provided. The rapid facial recognition system includes an image capture device, a broadcasting feature computing unit and several response recognition computing units scattered on the network. Each of the broadcasting feature computing unit and the response recognition computing units includes a feature recognition module, wherein the broadcasting feature computing unit further includes a feature extraction module and an identification module. The image capture device captures a facial image, and the feature extraction module extracts features of the facial image to generate a set of feature data that is broadcasted to the response recognition computing units. The feature recognition modules, in accordance with the set of the feature data and their classes allocated, perform distributed facial recognition for generating recognition results as a response. The identification module identifies the recognition results to accomplish the recognition of an individual's identity.

摘要翻译： 提供一种执行快速面部识别的系统和方法。 快速面部识别系统包括分散在网络上的图像捕获装置，广播特征计算单元和若干响应识别计算单元。 广播特征计算单元和响应识别计算单元中的每一个包括特征识别模块，其中广播特征计算单元还包括特征提取模块和识别模块。 图像捕获装置捕获面部图像，并且特征提取模块提取面部图像的特征以生成广播到响应识别计算单元的一组特征数据。 特征识别模块根据特征数据集合及其分配的类别，执行分布式面部识别，以产生识别结果作为响应。 识别模块识别识别结果以完成个体身份的识别。