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    • 2. 发明申请
    • Architecture for accessing an external memory
    • 用于访问外部存储器的体系结构
    • US20060161698A1
    • 2006-07-20
    • US11126357
    • 2005-05-11
    • Chun-Fu ShenJu-Lung Fann
    • Chun-Fu ShenJu-Lung Fann
    • G06F5/00G06F13/40
    • G06F13/1678G06F13/4018
    • Provided is an external memory accessing architecture for use with IC comprising a first bus connected to an external memory and having n-bit data width; a first buffer unit of k serially connected first buffers each having n-bit data width, a first one of the first buffers connected to the external memory via the first bus; a second buffer unit comprising a second buffer having k*n-bit data width, the second buffer connected to the first buffers; a second bus connected to the second buffer for transferring k*n-bit data; an output unit connected to the second buffer unit and comprising a multiplexer; and a controller connected to the output unit, the second bus, and the external memory respectively such that the controller is able to read data from the external memory or transfer data thereto via the second bus and at least one control signal in higher transfer rate.
    • 提供了一种用于IC的外部存储器访问架构,其包括连接到外部存储器并具有n位数据宽度的第一总线; k个串行连接的第一缓冲器的第一缓冲单元,每个具有n位数据宽度,第一缓冲器中的第一缓冲器经由第一总线连接到外部存储器; 第二缓冲单元,包括具有k * n位数据宽度的第二缓冲器,所述第二缓冲器连接到所述第一缓冲器; 连接到第二缓冲器的用于传送k * n位数据的第二总线; 连接到第二缓冲单元并包括多路复用器的输出单元; 以及分别连接到输出单元,第二总线和外部存储器的控制器,使得控制器能够从外部存储器读取数据或经由第二总线传送数据,并且以更高的传输速率传送至少一个控制信号。
    • 3. 发明申请
    • PARTICLE FILTER
    • 颗粒过滤器
    • US20130044911A1
    • 2013-02-21
    • US13296654
    • 2011-11-15
    • Chun-Fu SHENDer-Chun CHERNG
    • Chun-Fu SHENDer-Chun CHERNG
    • G06K9/00
    • G06T7/251G06T2200/28G06T2207/10024G06T2207/20021G06T2207/30212G06T2207/30232
    • A particle filter is suitable for performing particle filtering on a frame to track a particular object in the frame. The particle filter includes a frame cache, an observation model generator, and a particle filter controller. The frame cache is connected to a system memory through a system bus, in which the system memory stores all image blocks of the frame; and the frame cache obtains the at least one image block of the frame from the system memory and stores the obtained image block. The observation model generator reads at least one pixel from the frame cache, and generates an observation model corresponding to the object and the read image block according to the read pixel. The particle filter controller obtains the observation model from the observation model generator, and determines and outputs an object tracking result of the object according to the observation model.
    • 粒子滤波器适用于对帧执行粒子滤波以跟踪帧中的特定对象。 粒子滤波器包括帧缓存,观察模型生成器和粒子滤波器控制器。 帧缓存通过系统总线连接到系统存储器,其中系统存储器存储帧的所有图像块; 并且帧高速缓存从系统存储器获取帧的至少一个图像块并存储所获得的图像块。 观察模型生成器从帧高速缓存读取至少一个像素,并且根据读取的像素生成与对象和读取图像块对应的观察模型。 粒子滤波器控制器从观测模型发生器获取观测模型,根据观测模型确定并输出对象的物体跟踪结果。
    • 4. 发明申请
    • Digital video target moving object segmentation method and system
    • 数字视频目标移动物体分割方法及系统
    • US20090245571A1
    • 2009-10-01
    • US12286795
    • 2008-10-02
    • Shao-Yi ChienWei-Kai ChanChun-Fu Shen
    • Shao-Yi ChienWei-Kai ChanChun-Fu Shen
    • G06K9/46
    • G06K9/38G06K9/00771
    • A digital video target moving object segmentation method and system is designed for processing a digital video stream for segmentation of every target moving object that appears in the video content. The proposed method and system is characterized by the operations of a multiple background imagery extraction process and a background imagery updating process for extracting characteristic background imagery whose content includes the motional background objects in addition to the static background scenes; and wherein the multiple background imagery extraction process is based on a background difference threshold comparison method, while the background imagery updating process is based on a background-matching and weight-counting method. This feature allows an object mask to be defined based on the characteristic background imagery, which can mask both the motional background objects as well as the static background scenes.
    • 数字视频目标移动物体分割方法和系统被设计用于处理视频内容中出现的每个目标移动物体的数字视频流。 所提出的方法和系统的特征在于多重背景图像提取过程和背景图像更新过程的操作,用于提取除了静态背景场景之外的内容包括运动背景对象的特征背景图像; 并且其中所述多重背景图像提取处理基于背景差异阈值比较方法,而所述背景图像更新处理基于背景匹配和加权计数方法。 该特征允许基于特征背景图像来定义对象掩模,其可以掩盖运动背景对象以及静态背景场景。
    • 5. 发明授权
    • Image object tracking using a particle filter
    • 使用粒子滤镜的图像对象跟踪
    • US08600109B2
    • 2013-12-03
    • US13296654
    • 2011-11-15
    • Chun-Fu ShenDer-Chun CherngSheng-Yan YangYan-Chen Lu
    • Chun-Fu ShenDer-Chun CherngSheng-Yan YangYan-Chen Lu
    • G06K9/00
    • G06T7/251G06T2200/28G06T2207/10024G06T2207/20021G06T2207/30212G06T2207/30232
    • A particle filter is suitable for performing particle filtering on a frame to track a particular object in the frame. The particle filter includes a frame cache, an observation model generator, and a particle filter controller. The frame cache is connected to a system memory through a system bus, in which the system memory stores all image blocks of the frame; and the frame cache obtains the at least one image block of the frame from the system memory and stores the obtained image block. The observation model generator reads at least one pixel from the frame cache, and generates an observation model corresponding to the object and the read image block according to the read pixel. The particle filter controller obtains the observation model from the observation model generator, and determines and outputs an object tracking result of the object according to the observation model.
    • 粒子滤波器适用于对帧执行粒子滤波以跟踪帧中的特定对象。 粒子滤波器包括帧缓存,观察模型生成器和粒子滤波器控制器。 帧缓存通过系统总线连接到系统存储器,其中系统存储器存储帧的所有图像块; 并且帧高速缓存从系统存储器获取帧的至少一个图像块并存储所获得的图像块。 观察模型生成器从帧高速缓存读取至少一个像素,并且根据读取的像素生成与对象和读取图像块对应的观察模型。 粒子滤波器控制器从观测模型发生器获取观测模型,根据观测模型确定并输出对象的物体跟踪结果。
    • 9. 发明授权
    • Method for motion estimation in video coding
    • US06668020B2
    • 2003-12-23
    • US09794119
    • 2001-02-28
    • Shyh-Yih MaChun-Fu Shen
    • Shyh-Yih MaChun-Fu Shen
    • H04N718
    • H04N19/533G06T7/238H04N5/145
    • A method for motion estimation for use in video coding. In a predetermined search region, three starting rows are chosen, wherein a given prediction point is on the middle row, the N-th row. The method includes the following steps. (a) All points of the (N−2)-th, N-th, and (N+2)-th rows are chosen as checking points. (b) Block match errors for the checking points are calculated and a checking point which corresponds to a minimum block match error is defined as a candidate checking point. (c) A determination is made whether the candidate checking point is on the N-th row; if so, the method proceeds to step (g); otherwise, it proceeds to step (d). (d) It is determined that whether the candidate checking point is on the (N+2)-th row; if so, the method proceeds to step (e); otherwise, it proceeds to step (f). (e) N is incremented by two, all points of the (N+2)-th row are chosen as checking points, and step (b) is repeated. (f) N is decremented by two, all points of the (N−2)-th row are chosen as checking points, and step (b) is repeated. (g) All points of the (N−1)-th and (N+1)-th rows are chosen as checking points, block match errors for the checking points are calculated, and a checking point corresponding to the minimum block match error is defined as the candidate checking point, wherein the candidate checking point is used for determining the motion vector for video coding.
    • 10. 发明授权
    • Digital video target moving object segmentation method and system
    • 数字视频目标移动物体分割方法及系统
    • US08238605B2
    • 2012-08-07
    • US12286795
    • 2008-10-02
    • Shao-Yi ChienWei-Kai ChanChun-Fu Shen
    • Shao-Yi ChienWei-Kai ChanChun-Fu Shen
    • G06K9/00G06K9/34
    • G06K9/38G06K9/00771
    • A digital video target moving object segmentation method and system is designed for processing a digital video stream for segmentation of every target moving object that appears in the video content. The proposed method and system is characterized by the operations of a multiple background imagery extraction process and a background imagery updating process for extracting characteristic background imagery whose content includes the motional background objects in addition to the static background scenes; and wherein the multiple background imagery extraction process is based on a background difference threshold comparison method, while the background imagery updating process is based on a background-matching and weight-counting method. This feature allows an object mask to be defined based on the characteristic background imagery, which can mask both the motional background objects as well as the static background scenes.
    • 数字视频目标移动物体分割方法和系统被设计用于处理视频内容中出现的每个目标移动物体的数字视频流进行分割。 所提出的方法和系统的特征在于多重背景图像提取过程和背景图像更新过程的操作,用于提取除了静态背景场景之外的内容包括运动背景对象的特征背景图像; 并且其中所述多重背景图像提取处理基于背景差异阈值比较方法,而所述背景图像更新处理基于背景匹配和加权计数方法。 该特征允许基于特征背景图像来定义对象掩模,其可以掩盖运动背景对象以及静态背景场景。