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    • 1. 发明授权
    • System and method for human detection and counting using background modeling, HOG and Haar features
    • 使用背景建模,HOG和Haar功能进行人体检测和计数的系统和方法
    • US09001199B2
    • 2015-04-07
    • US13160743
    • 2011-06-15
    • Aniruddha SinhaRohit GuptaAyan ChakiArpan Pal
    • Aniruddha SinhaRohit GuptaAyan ChakiArpan Pal
    • H04N9/47G06K9/00
    • G06K9/00369
    • A system for adaptive learning based human detection for channel input of captured human image signals, the system comprising: a sensor for tracking real-time images of an environment of interest; a feature extraction and classifiers generation processor for extracting a plurality of features and classifying the features associated with time-space descriptors of image comprising background modeling, Histogram of Oriented Gradients (HOG) and Haar like wavelet; a processor configured to process extracted feature classifiers associated with plurality of real-time images; combine the plurality of feature classifiers of time-space descriptors; evaluate a linear probability of human detection based on a predetermined threshold value of the feature classifiers in a time window having at least one image frame; a counter for counting the number of humans in the real-time images; and a transmission device configured to send the final human detection decision and number thereof to a storage device.
    • 一种用于基于捕获的人类图像信号的信道输入的用于自适应学习的人类检测的系统,所述系统包括:用于跟踪感兴趣的环境的实时图像的传感器; 特征提取和分类器生成处理器,用于提取多个特征并对与图像的时间 - 空间描述符相关联的特征进行分类,该图像包括背景建模,定向梯度(HOG)直方图和哈尔像小波; 处理器,被配置为处理与多个实时图像相关联的提取的特征分类器; 组合时空描述符的多个要素分类器; 基于具有至少一个图像帧的时间窗中的特征分类器的预定阈值来评估人类检测的线性概率; 用于计数实时图像中的人数的计数器; 以及发送装置,被配置为将最终的人类检测决定及其数量发送到存储装置。
    • 2. 发明申请
    • SYSTEM AND METHOD FOR HUMAN DETECTION AND COUNTING USING BACKGROUND MODELING, HOG AND HAAR FEATURES
    • 用于人类检测和计数的系统和方法,使用背景建模,HOG和HAAR特征
    • US20120274755A1
    • 2012-11-01
    • US13160743
    • 2011-06-15
    • Aniruddha SinhaRohit GuptaAyan ChakiArpan Pal
    • Aniruddha SinhaRohit GuptaAyan ChakiArpan Pal
    • G06K9/00H04N7/18
    • G06K9/00369
    • A system for adaptive learning based human detection for channel input of captured human image signals, the system comprising: a sensor for tracking real-time images of an environment of interest; a feature extraction and classifiers generation processor for extracting a plurality of features and classifying the features associated with time-space descriptors of image comprising background modeling, Histogram of Oriented Gradients (HOG) and Haar like wavelet; a processor configured to process extracted feature classifiers associated with plurality of real-time images; combine the plurality of feature classifiers of time-space descriptors; evaluate a linear probability of human detection based on a predetermined threshold value of the feature classifiers in a time window having at least one image frame; a counter for counting the number of humans in the real-time images; and a transmission device configured to send the final human detection decision and number thereof to a storage device.
    • 一种用于基于捕获的人类图像信号的信道输入的用于自适应学习的人类检测的系统,所述系统包括:用于跟踪感兴趣的环境的实时图像的传感器; 特征提取和分类器生成处理器,用于提取多个特征并对与图像的时间 - 空间描述符相关联的特征进行分类,该图像包括背景建模,定向梯度(HOG)直方图和哈尔像小波; 处理器,被配置为处理与多个实时图像相关联的提取的特征分类器; 组合时空描述符的多个要素分类器; 基于具有至少一个图像帧的时间窗中的特征分类器的预定阈值来评估人类检测的线性概率; 用于计数实时图像中的人数的计数器; 以及发送装置,被配置为将最终的人类检测决定及其数量发送到存储装置。
    • 7. 发明申请
    • METHOD AND SYSTEM FOR EMBEDDING METADATA IN MULTIPLEXED ANALOG VIDEOS BROADCASTED THROUGH DIGITAL BROADCASTING MEDIUM
    • 用于通过数字广播介质广播的多路复用模拟视频中嵌入元数据的方法和系统
    • US20140208379A1
    • 2014-07-24
    • US14238728
    • 2012-08-23
    • Aniruddha SinhaArindam SahaArpan Pal
    • Aniruddha SinhaArindam SahaArpan Pal
    • H04N21/236
    • H04N21/23614H04N7/025H04N7/08
    • A method and system for broadcast of additional content such as metadata required for client specific interactive application in an analog domain along with conventional audio, video and PSI or SI data is disclosed. The present invention enables transmission of encoded audio data or EPG data, timestamp information required for audio video synchronization referred to as metadata by embedding such metadata in the pixels of video pixels and then encoding by the standard video encoder to generate an encoded stream. The encoded stream is decoded using the standard video decoder at the receiving station to generate a Composite Video Blanking and Sync (CVBS) analog video signal. From the CVBS signal, the RGB or YUV pixels of the videos are extracted. Finally a data extractor module retrieves the embedded metadata from the RGB or YUV pixels.
    • 公开了一种用于广播附加内容的方法和系统,例如模拟域中的客户特定交互应用所需的元数据以及常规音频,视频和PSI或SI数据。 本发明能够通过将视频像素的像素嵌入这些元数据,然后通过标准视频编码器进行编码以产生编码流,从而传送编码的音频数据或EPG数据,将音频视频同步所需的时间戳信息称为元数据。 在接收站使用标准视频解码器解码编码的流,以产生复合视频消隐和同步(CVBS)模拟视频信号。 从CVBS信号中,提取视频的RGB或YUV像素。 最后,数据提取器模块从RGB或YUV像素检索嵌入的元数据。