公开(公告)号：US08300937B2

公开(公告)日：2012-10-30

申请号：US12343403

申请日：2008-12-23

申请人： Yi-Ta Wu ,  Ming-Yu Shih ,  Chung-Hsien Huang

发明人： Yi-Ta Wu ,  Ming-Yu Shih ,  Chung-Hsien Huang

IPC分类号： G06K9/32

CPC分类号： G06T7/11 ,  G06T7/187

摘要： A pixel region-based image segmentation method is disclosed. When an input image is retrieved, pixels thereof are sequentially scanned row by row. Signs of unmarked pixels of the input image are determined according to region features of neighboring pixels of each pixel and pixel update information is recorded to generate a region sign update data table and a region sign feature data table. The pixels of the input frame are further scanned row by row to retrieve signs of the pixels and region signs of the pixels are determined and updated according to the region sign update data table.

摘要翻译： 公开了一种基于像素区域的图像分割方法。 当检索输入图像时，其像素被逐行地顺序扫描。 根据每个像素的相邻像素的区域特征确定输入图像的未标记像素的符号，并记录像素更新信息以生成区域符号更新数据表和区域符号特征数据表。 输入帧的像素逐行进一步扫描以检索像素的符号，并且根据区域符号更新数据表来确定和更新像素的区域符号。

公开(公告)号：US08447069B2

公开(公告)日：2013-05-21

申请号：US12702312

申请日：2010-02-09

申请人： Chung-Hsien Huang ,  Cheng-Chuan Chou ,  Yi-Ta Wu ,  Chao-Hung Kao ,  Ming-Yu Shih

发明人： Chung-Hsien Huang ,  Cheng-Chuan Chou ,  Yi-Ta Wu ,  Chao-Hung Kao ,  Ming-Yu Shih

IPC分类号： G06K9/00

CPC分类号： G06T7/254 ,  G06T7/215 ,  G06T2207/20221 ,  G06T2207/20224 ,  G06T2207/30232

摘要： An apparatus and method for moving object detection computes a corresponding frame difference for every two successive image frames of a moving object, and segments a current image frame of the two successive image frames into a plurality of homogeneous regions. At least a candidate region is further detected from the plurality of homogeneous regions. The system gradually merges the computed frame differences via a morphing-based technology and fuses the merged frame difference with the at least a candidate region, thereby obtaining the location and a complete outline of the moving object.

摘要翻译： 用于移动物体检测的装置和方法计算运动物体的每两个连续图像帧的对应的帧差，并将两个连续的图像帧的当前图像帧分割成多个均匀区域。 从多个均匀区域进一步检测至少候选区域。 系统通过基于变形的技术逐渐地合并计算出的帧差异，并将合并的帧差与至少一个候选区域融合，从而获得移动对象的位置和完整轮廓。

公开(公告)号：US20110142283A1

公开(公告)日：2011-06-16

申请号：US12702312

申请日：2010-02-09

申请人： Chung-Hsien Huang ,  Cheng-Chuan Chou ,  Yi-Ta Wu ,  Chao-Hung Kao ,  Ming-Yu Shih

发明人： Chung-Hsien Huang ,  Cheng-Chuan Chou ,  Yi-Ta Wu ,  Chao-Hung Kao ,  Ming-Yu Shih

IPC分类号： G06K9/62

CPC分类号： G06T7/254 ,  G06T7/215 ,  G06T2207/20221 ,  G06T2207/20224 ,  G06T2207/30232

摘要： An apparatus and method for moving object detection computes a corresponding frame difference for every two successive image frames of a moving object, and segments a current image frame of the two successive image frames into a plurality of homogeneous regions. At least a candidate region is further detected from the plurality of homogeneous regions. The system gradually merges the computed frame differences via a morphing-based technology and interests with the at least a candidate region, thereby obtains the location and a complete outline of the moving object.

摘要翻译： 用于移动物体检测的装置和方法计算运动物体的每两个连续图像帧的对应的帧差，并将两个连续的图像帧的当前图像帧分割成多个均匀区域。 从多个均匀区域进一步检测至少候选区域。 系统通过基于变形的技术和兴趣与至少候选区域逐渐地合并计算出的帧差异，从而获得移动对象的位置和完整轮廓。

公开(公告)号：US20100124375A1

公开(公告)日：2010-05-20

申请号：US12343403

申请日：2008-12-23

申请人： Yi-Ta Wu ,  Ming-Yu Shih ,  Chung-Hsien Huang

发明人： Yi-Ta Wu ,  Ming-Yu Shih ,  Chung-Hsien Huang

IPC分类号： G06K9/34

CPC分类号： G06T7/11 ,  G06T7/187

摘要： A pixel region-based image segmentation method is disclosed. When an input image is retrieved, pixels thereof are sequentially scanned row by row. Signs of unmarked pixels of the input image are determined according to region features of neighboring pixels of each pixel and pixel update information is recorded to generate a region sign update data table and a region sign feature data table. The pixels of the input frame are further scanned row by row to retrieve signs of the pixels and region signs of the pixels are determined and updated according to the region sign update data table.

摘要翻译： 公开了一种基于像素区域的图像分割方法。 当检索输入图像时，其像素被逐行地顺序扫描。 根据每个像素的相邻像素的区域特征确定输入图像的未标记像素的符号，并记录像素更新信息以生成区域符号更新数据表和区域符号特征数据表。 输入帧的像素逐行进一步扫描以检索像素的符号，并且根据区域符号更新数据表来确定和更新像素的区域符号。

公开(公告)号：US20100124358A1

公开(公告)日：2010-05-20

申请号：US12346845

申请日：2008-12-31

申请人： Chung-Hsien Huang ,  Ming-Yu Shih

发明人： Chung-Hsien Huang ,  Ming-Yu Shih

IPC分类号： G06K9/00

CPC分类号： G06K9/00771 ,  G06K9/00342 ,  G06T7/251 ,  G06T7/254 ,  G06T7/277 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/30196 ,  G06T2207/30232

摘要： A method for tracking a moving object is provided. The method detects the moving object in a plurality of continuous images so as to obtain space information of the moving object in each of the images. In addition, appearance features of the moving object in each of the images are captured to build an appearance model. Finally, the space information and the appearance model are combined to track a moving path of the moving object in the images. Accordingly, the present invention is able to keep tracking the moving object even if the moving object leaves the monitoring frame and returns again, so as to assist the supervisor in finding abnormal acts and making following reactions.

摘要翻译： 提供了一种跟踪移动物体的方法。 该方法检测多个连续图像中的移动物体，以便获得每个图像中的移动物体的空间信息。 此外，拍摄每个图像中的移动物体的外观特征以构建外观模型。 最后，组合空间信息和外观模型，以跟踪图像中移动物体的移动路径。 因此，即使运动物体离开监视框并再次返回，本发明也能够跟踪运动物体，从而辅助主管发现异常动作并作出后续反应。

公开(公告)号：US08243990B2

公开(公告)日：2012-08-14

申请号：US12346845

申请日：2008-12-31

申请人： Chung-Hsien Huang ,  Ming-Yu Shih

发明人： Chung-Hsien Huang ,  Ming-Yu Shih

IPC分类号： G06K9/00

CPC分类号： G06K9/00771 ,  G06K9/00342 ,  G06T7/251 ,  G06T7/254 ,  G06T7/277 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/30196 ,  G06T2207/30232

摘要： A method for tracking a moving object is provided. The method detects the moving object in a plurality of continuous images so as to obtain space information of the moving object in each of the images. In addition, appearance features of the moving object in each of the images are captured to build an appearance model. Finally, the space information and the appearance model are combined to track a moving path of the moving object in the images. Accordingly, the present invention is able to keep tracking the moving object even if the moving object leaves the monitoring frame and returns again, so as to assist the supervisor in finding abnormal acts and making following reactions.

摘要翻译： 提供了一种跟踪移动物体的方法。 该方法检测多个连续图像中的移动物体，以便获得每个图像中的移动物体的空间信息。 此外，拍摄每个图像中的移动物体的外观特征以构建外观模型。 最后，组合空间信息和外观模型，以跟踪图像中移动物体的移动路径。 因此，即使运动物体离开监视框并再次返回，本发明也能够跟踪运动物体，从而辅助主管发现异常动作并作出后续反应。

公开(公告)号：US08699748B2

公开(公告)日：2014-04-15

申请号：US12977540

申请日：2010-12-23

申请人： Chung-Hsien Huang ,  Ming-Yu Shih

发明人： Chung-Hsien Huang ,  Ming-Yu Shih

IPC分类号： G06K9/00 ,  H04N5/225 ,  H04B1/66

CPC分类号： G06T7/277

摘要： In one exemplary embodiment, a tracking system for region-of-interest (ROI) performs a feature-point detection locally on an ROI of an image frame at an initial time via a feature point detecting and tracking module, and tracks the detected features. A linear transformation module finds out a transform relationship between two ROIs of two consecutive image frames, by using a plurality of corresponding feature points. An estimation and update module predicts and corrects a moving location for the ROI at a current time. Based on the result corrected by the estimation and update module, an outlier rejection module removes at least an outlier outside the ROI.

摘要翻译： 在一个示例性实施例中，用于感兴趣区域（ROI）的跟踪系统经由特征点检测和跟踪模块在初始时间在图像帧的ROI上本地执行特征点检测，并且跟踪检测到的特征。 线性变换模块通过使用多个对应的特征点来找出两个连续图像帧的两个ROI之间的变换关系。 估计和更新模块预测并更正当前时间内ROI的移动位置。 基于由估计和更新模块校正的结果，异常值拒绝模块至少移除ROI外部的异常值。

公开(公告)号：US08542276B2

公开(公告)日：2013-09-24

申请号：US12758812

申请日：2010-04-13

申请人： Chung-Hsien Huang ,  Cheng-Chuan Chou ,  Ruei-Cheng Wu

发明人： Chung-Hsien Huang ,  Cheng-Chuan Chou ,  Ruei-Cheng Wu

IPC分类号： G06K9/00

CPC分类号： G06K9/00771 ,  G06K9/00979 ,  G06K9/6256 ,  G06K9/6259 ,  G06T7/292 ,  G06T2207/30196

摘要： An object tracking method for a non-overlapping-sensor network works in a sensor network. The method may comprise a training phase and a detection phase. In the training phase, a plurality of sensor information measured by the sensors in the sensor network is used as training samples. At least an entrance/exit is marked out within the measurement range of each sensor. At least three characteristic functions including sensor spatial relation among the sensors in the sensor network, difference of movement time and similarity in appearance, are estimated by an automatically learning method. The at least three characteristic functions are used as the principles for object tracking and relationship linking in the detection phase.

摘要翻译： 用于非重叠传感器网络的物体跟踪方法在传感器网络中工作。 该方法可以包括训练阶段和检测阶段。 在训练阶段，使用由传感器网络中的传感器测量的多个传感器信息作为训练样本。 在每个传感器的测量范围内至少标出一个入口/出口。 传感器网络中传感器之间的传感器空间关系，运动时间差异，外观相似度等三个特征函数，通过自动学习方法进行估计。 在检测阶段使用至少三个特征函数作为对象跟踪和关系链接的原理。

公开(公告)号：US08189913B2

公开(公告)日：2012-05-29

申请号：US12350209

申请日：2009-01-07

申请人： Chung-Hsien Huang ,  Ruei-Cheng Wu

发明人： Chung-Hsien Huang ,  Ruei-Cheng Wu

IPC分类号： G06K9/00

CPC分类号： G06K9/4642 ,  G06T7/254 ,  G06T7/90 ,  G06T2207/10016 ,  G06T2207/10024

摘要： A method for detecting a shadow of an object in an image is provided. A moving object in a plurality of continuous images is detected. A histogram of a color variation of the moving object in each of the images is calculated. The histograms of the color variation are accumulated to obtain a cumulative histogram. A distribution of the color variation in the cumulative histogram is estimated to obtain a shadow distribution function. Whether each pixel in a received image belongs to the shadow is determined by using the shadow distribution function.

摘要翻译： 提供了一种用于检测图像中的对象的阴影的方法。 检测多个连续图像中的移动物体。 计算每个图像中的移动物体的颜色变化的直方图。 累积颜色变化的直方图以获得累积直方图。 估计累积直方图中颜色变化的分布以获得阴影分布函数。 通过使用阴影分布函数确定接收图像中的每个像素属于阴影。

公开(公告)号：US09058744B2

公开(公告)日：2015-06-16

申请号：US13046689

申请日：2011-03-11

申请人： Chung-Hsien Huang ,  Ruei-Cheng Wu

发明人： Chung-Hsien Huang ,  Ruei-Cheng Wu

IPC分类号： G06K9/00 ,  G08G1/054

CPC分类号： G08G1/054 ,  G06K9/00785

摘要： An image-based detecting system for traffic parameters first sets a range of a vehicle lane for monitoring control, and sets an entry detection window and an exit detection window in the vehicle lane. When the entry detection window detects an event of a vehicle passing by using the image information captured at the entry detection window, a plurality of feature points are detected in the entry detection window, and will be tracked hereafter. Then, the feature points belonging to the same vehicle are grouped to obtain at least a location tracking result of single vehicle. When the tracked single vehicle moves to the exit detection window, according to the location tracking result and the time correlation through estimating the information captured at the entry detection window and the exit detection window, at least a traffic parameter is estimated.

摘要翻译： 用于交通参数的基于图像的检测系统首先设置用于监视控制的车道的范围，并且在车道中设置入口检测窗口和出口检测窗口。 当入口检测窗口通过使用在入口检测窗口处获取的图像信息来检测车辆的事件时，在入口检测窗口中检测到多个特征点，并且将在以后跟踪。 然后，将属于同一车辆的特征点分组，以获得至少单个车辆的位置跟踪结果。 当跟踪的单个车辆移动到出口检测窗口时，根据位置跟踪结果和通过估计在入口检测窗口和出口检测窗口处捕获的信息的时间相关性，估计至少一个交通参数。