公开(公告)号：US09508018B2

公开(公告)日：2016-11-29

申请号：US14551942

申请日：2014-11-24

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Kumar Arrakutti Desappan ,  Manu Mathew ,  Pramod Kumar Swami

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62

CPC classification number: G06K9/4647 ,  G06K9/4652 ,  G06K9/6212

Abstract: An object detection system and a method of detecting an object in an image are disclosed. In an embodiment, a method for detecting the object includes computing one or more feature planes of one or more types for each image pixel of the image. A plurality of cells is defined in the image, where each cell includes first through nth number of pixels, and starting locations of each cell in the image in horizontal and vertical directions are integral multiples of predefined horizontal and vertical step sizes, respectively. One or more feature plane summations of one or more types are computed for each cell. A feature vector is determined for an image portion of the image based on a set of feature plane summations, and the feature vector is compared with a corresponding object classifier to detect a presence of the corresponding object in the image portion of the image.

Abstract translation: 公开了一种物体检测系统和检测图像中物体的方法。 在一个实施例中，用于检测对象的方法包括为图像的每个图像像素计算一个或多个类型的一个或多个特征面。 在图像中定义多个单元，其中每个单元包括第一至第n个像素数，并且图像中每个单元在水平和垂直方向上的起始位置分别是预定水平和垂直步长的整数倍。 为每个单元计算一个或多个类型的一个或多个特征平面求和。 基于特征平面求和的集合来确定图像的图像部分的特征向量，并且将特征向量与对应的对象分类器进行比较，以检测图像的图像部分中相应对象的存在。

公开(公告)号：US20160275377A1

公开(公告)日：2016-09-22

申请号：US15073940

申请日：2016-03-18

Applicant: Texas Instruments Incorporated

Inventor： Manu Mathew ,  Hrushikesh Tukaram Garud ,  Soyeb Noormohammed Nagori

IPC: G06K9/62 ,  G06T5/20 ,  G06T5/00

CPC classification number: G06K9/6282 ,  G06K9/00791 ,  G06T5/002 ,  G06T5/20 ,  G06T7/269 ,  G06T2207/10016 ,  G06T2207/20076 ,  G06T2207/30168

Abstract: A confidence map for optical flow gradients is constructed calculating a set of gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.

Abstract translation: 构建用于光流梯度的置信图，其中计算图像的每个像素的一组梯度，使用多个决策树分类器对所述梯度进行滤波和提取来自所述梯度的置信度值。 然后从所述置信度值生成置信图。

公开(公告)号：US20140119436A1

公开(公告)日：2014-05-01

申请号：US13663707

申请日：2012-10-30

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Manu Mathew ,  Mullangi Venkata Ratna Reddy

IPC: H04N7/26

CPC classification number: H04N19/88 ,  H04N19/30

Abstract: A system and method for decoding video encoded using scalable video coding. In one embodiment, a decoder for scalable video coding (SVC) includes an SVC access unit analyzer and decoding logic. The SVC access unit analyzer is configured to examine an SVC access unit prior to layered decoding of the access unit, to determine, based on the examination, what operations the access unit specifies for each layer of the decoding, and to determine, based on the determined operations to be performed for each layer of the decoding, what data to store for use by a subsequent layer of the decoding. The decoding logic is configured to decode the access unit via a plurality of decoding layers; and to store at each decoding layer, for use by a subsequent decoding layer, the data determined by the SVC access unit analyzer to be used by the subsequent decoding layer.

Abstract translation: 一种用于对使用可分级视频编码编码的视频进行解码的系统和方法。 在一个实施例中，用于可分级视频编码（SVC）的解码器包括SVC存取单元分析器和解码逻辑。 SVC访问单元分析器被配置为在访问单元的分层解码之前检查SVC访问单元，以基于检查来确定访问单元为每个解码层指定什么操作，并且基于 要为每个解码层执行确定的操作，存储哪些数据以供后续解码层使用。 解码逻辑被配置为经由多个解码层对存取单元进行解码; 并且在每个解码层存储由后续解码层使用的由SVC存取单元分析器确定的数据由后续解码层使用。