훈련 함수 생성 장치, 훈련 함수 생성 방법 및 그것을 이용한 특징 벡터 분류 방법
    42.
    发明公开
    훈련 함수 생성 장치, 훈련 함수 생성 방법 및 그것을 이용한 특징 벡터 분류 방법 无效
    火炬功能发生装置,火炬功能生成方法及其特征矢量分类方法

    公开(公告)号:KR1020130114417A

    公开(公告)日:2013-10-17

    申请号:KR1020120036754

    申请日:2012-04-09

    CPC classification number: G06N99/005 G06F17/00 G06F17/18

    Abstract: PURPOSE: A training function generating device, a training function generating method and a feature vector classification method using the same are provided to implement high classification performance with less computational complexity, by using a training function having low computational complexity and high classification performance. CONSTITUTION: A training function calculation unit (120) calculates an initial training function, by using predetermined priority. A loop determining unit (130) determines recalculation of the training function, by comparing the classification performance of the initial training function with established classification performance, and a training function generation unit (140) outputs the training function. The loop determining unit compares the classification performance of the initial training function with the classification performance, and changes the priority according to the comparison result. The training function calculation unit calculates the initial training function, by using mean square error corresponding to training vectors. [Reference numerals] (110) Initial condition setting unit; (120) Training function calculation unit; (130) Loop determining unit; (140) Training function generation unit

    Abstract translation: 目的:通过使用具有低计算复杂度和高分类性能的训练功能,提供训练函数生成装置,训练函数生成方法和使用该训练函数生成方法的特征向量分类方法,以较少的计算复杂度来实现高分类性能。 构成:训练功能计算单元(120)通过使用预定的优先级来计算初始训练功能。 循环确定单元(130)通过比较初始训练功能的分类性能与已建立的分类性能来确定训练功能的重新计算,并且训练功能生成单元(140)输出训练功能。 循环确定单元将初始训练功能的分类性能与分类性能进行比较,并根据比较结果改变优先级。 训练函数计算单元通过使用对应于训练矢量的均方误差来计算初始训练函数。 (附图标记)(110)初始条件设定单元; (120)训练功能计算单位; (130)循环确定单元; (140)培训功能生成单元

    영상 인식 장치 및 방법
    43.
    发明授权
    영상 인식 장치 및 방법 有权
    用于识别图像的装置和方法

    公开(公告)号:KR101268520B1

    公开(公告)日:2013-06-04

    申请号:KR1020090123943

    申请日:2009-12-14

    CPC classification number: G06K9/4614

    Abstract: 본 발명에 따르면, 입력 영상의 x축, y축 다차원 그래디언트를 이용하여 하 라이크 필터로부터 보다 다양한 특징을 추출할 수 있으며, 추출된 입력 영상의 특징과 True 영상에 대한 다중 임계값 및 False 영상에 대한 다중 임계값을 단계별로 이용하여 입력 영상을 정확하게 True/False로 분류할 수 있다. 따라서, 연산량은 적으면서도 인식률은 높아지므로 빠르면서도 정확하게 물체를 인식할 수 있어 실시간 영상 인식이 가능하다는 효과가 있다.
    하 라이크(Haar like), 특징, 그래디언트, 절대값, 인식률, 연산량

    특징 벡터 분류 장치 및 방법
    44.
    发明公开
    특징 벡터 분류 장치 및 방법 有权
    特征矢量分类装置及其方法

    公开(公告)号:KR1020130042783A

    公开(公告)日:2013-04-29

    申请号:KR1020110106863

    申请日:2011-10-19

    CPC classification number: G06K9/6228 G06K9/6269 G06N99/005 G06F17/00 G06F17/18

    Abstract: PURPOSE: A characteristic vector classification device and a method thereof are provided to reduce calculation amount by determining recalculation by comparing an error value and an error threshold value. CONSTITUTION: A variable calculation unit(120) calculates a weighted value and errors through a value set in an initial condition setting unit. A variable calculation unit calculates a training vector. A loop determination unit(130) determines recalculation by comparing an error value and an error threshold value. A boundary surface generation unit(140) generates a boundary surface by receiving a termination signal from the loop determination unit. An error value calculated by the variable calculation unit is a standardized average square error value. [Reference numerals] (110) Initial condition setting unit; (120) Variable calculation unit; (130) Loop determination unit; (140) Boundary surface generation unit;

    Abstract translation: 目的:提供特征矢量分类装置及其方法,通过比较误差值和误差阈值来确定重新计算来减少计算量。 构成:可变计算单元(120)通过在初始条件设置单元中设置的值来计算加权值和误差。 可变计算单元计算训练向量。 循环确定单元(130)通过比较错误值和错误阈值来确定重新计算。 边界面生成单元(140)通过从循环判定单元接收终止信号来生成边界面。 由变量计算单元计算的误差值是标准化的平均平方误差值。 (附图标记)(110)初始条件设定单元; (120)变量计算单位; (130)循环确定单元; (140)边界面生成单元;

    다이렉트 메모리 액세스 컨트롤러 및 그것의 동작 방법
    45.
    发明公开
    다이렉트 메모리 액세스 컨트롤러 및 그것의 동작 방법 有权
    直接存储器访问控制器及其操作方法

    公开(公告)号:KR1020120066999A

    公开(公告)日:2012-06-25

    申请号:KR1020100128379

    申请日:2010-12-15

    CPC classification number: G06F13/28 G06F13/1668 G06F13/24

    Abstract: PURPOSE: A direct memory access(DMA) controller and a method for operating the same are provided to reduce the generated frequency of interrupts representing the completion of DMA transmission. CONSTITUTION: A bus interface(610) receives the DMA controlling data of a processor. A DMA transmission controlling logic(640) implements a DMA transmission operation by referring the DMA controlling data which is set in a register set unit(620). After the completion of the DMA transmission operation, the DMA transmission controlling logic generates interrupts. A DMA master interface(650) implements a physical data transmission operation. An FIFO buffer memory device(660) temporarily saves transmission data and related controlling signals in the DMA transmission operation.

    Abstract translation: 目的:提供直接存储器访问(DMA)控制器及其操作方法,以减少表示DMA传输完成的中断的产生频率。 构成:总线接口(610)接收处理器的DMA控制数据。 DMA传输控制逻辑(640)通过参考设置在寄存器组单元(620)中的DMA控制数据来实现DMA传输操作。 在DMA传输操作完成之后,DMA传输控制逻辑产生中断。 DMA主接口(650)实现物理数据传输操作。 FIFO缓冲存储器件(660)在DMA传输操作中临时保存传输数据和相关控制信号。

    객체 검출 장치 및 시스템
    46.
    发明公开
    객체 검출 장치 및 시스템 有权
    对象检测装置和系统

    公开(公告)号:KR1020120041002A

    公开(公告)日:2012-04-30

    申请号:KR1020100102547

    申请日:2010-10-20

    CPC classification number: G06K9/4642 G06K9/3241

    Abstract: PURPOSE: An object detecting device and a system thereof are provided to form a feature vector by using HOG(Histogram of Oriented Gradients) and pixel coordinate information . CONSTITUTION: An outline image extracting unit(120) extracts an outline image from an input image. A feature vector calculating unit(130) calculates a feature vector from the outline image by using HOG and pixel coordinate information. The HOG displays frequency distribution of gradient vectors for pixels in the outline image. The pixel coordinate information is changed by spatial distribution of the gradient vectors. An object determining unit(150) determines a target object corresponding to the feature vector referring to pre-learned data.

    Abstract translation: 目的:提供一种物体检测装置及其系统,通过使用HOG(定向梯度直方图)和像素坐标信息形成特征向量。 构成:轮廓图像提取单元(120)从输入图像中提取轮廓图像。 特征向量计算单元(130)通过使用HOG和像素坐标信息从轮廓图像计算特征向量。 HOG显示轮廓图像中像素的梯度向量的频率分布。 通过梯度矢量的空间分布来改变像素坐标信息。 对象确定单元(150)参考预先学习的数据来确定与特征向量相对应的目标对象。

    영상 인식 방법 및 영상 인식 장치
    47.
    发明公开
    영상 인식 방법 및 영상 인식 장치 无效
    图像识别方法和图像识别装置

    公开(公告)号:KR1020120038764A

    公开(公告)日:2012-04-24

    申请号:KR1020100100399

    申请日:2010-10-14

    CPC classification number: H04N7/183 G06K9/6203

    Abstract: PURPOSE: An image recognition method and an image recognition device thereof are provided to offer additional memory to store a standard image and a reduced image. CONSTITUTION: An image recognition device selects a part of data from standard image data(S110). The image recognition device recognizes an image based on selected data(S120). The image recognition device reduces the selected data(S130). The image recognition device recognizes the image based on the reduced data(S140).

    Abstract translation: 目的:提供图像识别方法及其图像识别装置,以提供用于存储标准图像和缩小图像的附加存储器。 构成:图像识别装置从标准图像数据中选择一部分数据(S110)。 图像识别装置基于所选择的数据识别图像(S120)。 图像识别装置减少所选择的数据(S130)。 图像识别装置基于减少的数据识别图像(S140)。

    저전력 프로세서
    49.
    发明公开
    저전력 프로세서 有权
    低功率处理器

    公开(公告)号:KR1020100072614A

    公开(公告)日:2010-07-01

    申请号:KR1020080131065

    申请日:2008-12-22

    Abstract: PURPOSE: A processor with low power is provided to activate at least one among core block, a memory, a peripheral block by responding to a signal which activates according to an address map, thereby preventing a power consumption. CONSTITUTION: A low power processor comprises a plurality of blocks(30,70), a memory(50), and a multi power control unit(10). The memory stores a command for controlling the plurality of blocks. According to an address, the multi power control unit generates a signal for activating at least one among the plurality of blocks. By responding to the activation signal, the multi power control unit provides a normal power voltage or reduction power voltage. A command is stored in a relevant address.

    Abstract translation: 目的:提供低功耗的处理器,通过响应根据地址映射激活的信号来激活核心块,存储器,外围块中的至少一个,从而防止功耗。 构成:低功率处理器包括多个块(30,70),存储器(50)和多功率控制单元(10)。 存储器存储用于控制多个块的命令。 根据地址,多功率控制单元生成用于激活多个块中的至少一个的信号。 通过响应激活信号,多功率控制单元提供正常的电源电压或降低功率电压。 命令存储在相关地址中。

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