Efficient method of offline training a special-type parked vehicle detector for video-based on-street parking occupancy detection systems
    3.
    发明授权
    Efficient method of offline training a special-type parked vehicle detector for video-based on-street parking occupancy detection systems 有权
    用于离线训练用于视频路边停车场占用检测系统的特殊型驻车检测器的高效方法

    公开(公告)号:US09477892B2

    公开(公告)日:2016-10-25

    申请号:US14226078

    申请日:2014-03-26

    Abstract: A method for training a vehicle detection system used in a street occupancy estimation of stationary vehicles. The method includes defining first and second areas on an image plane of an image capture device associated with monitoring for detection of vehicles. The method includes receiving video-data from a sequence of frames captured from the image capture device. The method includes determining candidate frames that include objects relevant to a classification task in the second area. The method includes extracting the objects from the candidate frames, extracting features of each extracted object, and assigning labels to the each extracted object. The method includes training at least one classifier using the labels and extracted features. The method includes using the at least one trained classifier to classify a stationary vehicle detected in the first area.

    Abstract translation: 一种在固定车辆的街道占用估计中使用的车辆检测系统的训练方法。 该方法包括在与用于检测车辆的监视相关联的图像捕获装置的图像平面上限定第一和第二区域。 该方法包括从从图像捕获设备捕获的帧序列中接收视频数据。 该方法包括确定包括与第二区域中的分类任务相关的对象的候选帧。 该方法包括从候选帧中提取对象,提取每个提取的对象的特征,以及为每个提取的对象分配标签。 该方法包括使用标签和提取的特征来训练至少一个分类器。 该方法包括使用至少一个经过训练的分类器对在第一区域中检测到的静止车辆进行分类。

    TRAFFIC VIOLATION DETECTION
    5.
    发明申请
    TRAFFIC VIOLATION DETECTION 有权
    交通违规检测

    公开(公告)号:US20160148058A1

    公开(公告)日:2016-05-26

    申请号:US15013354

    申请日:2016-02-02

    Abstract: A method for detecting a vehicle running a stop signal positioned at an intersection includes acquiring a sequence of frames from at least one video camera monitoring an intersection being signaled by the stop signal. The method includes defining a first region of interest (ROI) including a road region located before the intersection on the image plane. The method includes searching the first ROI for a candidate violating vehicle. In response to detecting the candidate violating vehicle, the method includes tracking at least one trajectory of the detected candidate violating vehicle across a number of frames. The method includes classifying the candidate violating vehicle as belonging to one of a violating vehicle and a non-violating vehicle based on the at least one trajectory.

    Abstract translation: 用于检测运行位于交叉点处的停止信号的车辆的方法包括从至少一个监视由停止信号通知的交叉路口的摄像机获取帧序列。 该方法包括定义第一感兴趣区域(ROI),其包括位于图像平面上的交点之前的道路区域。 该方法包括搜索候选违反车辆的第一ROI。 响应于检测到候选违禁车辆,该方法包括跟踪检测到的候选违反车辆的至少一个轨迹跨越多个帧。 所述方法包括基于所述至少一个轨迹将候选违禁车辆分类为属于违禁车辆和非违禁车辆之一的车辆。

    Automated vision-based clutter detector and notifier
    6.
    发明授权
    Automated vision-based clutter detector and notifier 有权
    自动化的基于视觉的杂波检测器和通知器

    公开(公告)号:US09213900B2

    公开(公告)日:2015-12-15

    申请号:US13911105

    申请日:2013-06-06

    CPC classification number: G06K9/00771

    Abstract: A system and method of monitoring a customer space including obtaining visual data comprising image frames of the customer space over a period of time, defining a region of interest within the customer space, the region of interest corresponding to a portion of the customer space in which customers relocate objects, monitoring the region of interest for at least one predefined clutter condition, and generating a notification when the at least one predefined clutter condition is detected.

    Abstract translation: 一种监测客户空间的系统和方法,包括获得包括客户空间的图像帧的视觉数据,所述可视数据在一段时间内定义所述客户空间内的感兴趣区域,所述感兴趣区域与所述客户空间的一部分相对应, 客户重新定位对象,监视感兴趣区域至少一个预定义的杂波条件,以及当检测到至少一个预定义杂波条件时产生通知。

    STORE RESOURCE EVENT DETECTION
    7.
    发明申请
    STORE RESOURCE EVENT DETECTION 有权
    存储资源事件检测

    公开(公告)号:US20150310606A1

    公开(公告)日:2015-10-29

    申请号:US14672943

    申请日:2015-03-30

    Abstract: A computer vision system (100) operates to monitor an environment (e.g., such as a restaurant, store or other retail establishment) including a resource located therein (e.g., such as a restroom, a dining table, a drink, condiment or supply dispenser, a trash receptacle or a tray collection rack). The system includes: an image source or camera (104) that supplies image data (130) representative of at least a portion of the environment monitored by the system, the portion including the resource therein; and an event detection device (102) including a data processor (112) and operative to detect an event involving the resource. Suitably, the event detection device is arranged to: (i) be selectively configurable by a user to define the event involving the resource; (ii) receive the image data supplied by the image source; (iii) analyze the received image data to detect the defined event; and (iv) output a notification in response to detecting the defined event.

    Abstract translation: 计算机视觉系统(100)用于监视包括位于其中的资源(例如,诸如洗手间,餐桌,饮料,调味品或供给分配器等)的环境(例如餐馆,商店或其他零售店) ,垃圾桶或托盘收集架)。 该系统包括:图像源或照相机(104),其提供表示由系统监视的环境的至少一部分的图像数据(130),该部分包括其中的资源; 以及包括数据处理器(112)并且可操作以检测涉及所述资源的事件的事件检测设备(102)。 适当地,事件检测装置被布置为:(i)由用户有选择地配置以定义涉及资源的事件; (ii)接收由图像源提供的图像数据; (iii)分析所接收的图像数据以检测所定义的事件; 以及(iv)响应于检测到所定义的事件而输出通知。

    Heuristic-based approach for automatic payment gesture classification and detection
    8.
    发明授权
    Heuristic-based approach for automatic payment gesture classification and detection 有权
    用于自动支付手势分类和检测的基于启发式的方法

    公开(公告)号:US09165194B2

    公开(公告)日:2015-10-20

    申请号:US13964652

    申请日:2013-08-12

    Abstract: A system and method for automatic classification and detection of a payment gesture are disclosed. The method includes obtaining a video stream from a camera placed above at least one region of interest, the region of interest classifying the payment gesture. A background image is generated from the obtained video stream. Motion is estimated in at least two consecutive frames from the video stream. A representation is created from the background image and the estimated motion occurring within the at least one region of interest. The payment gesture is detected based on the representation.

    Abstract translation: 公开了一种用于自动分类和检测支付手势的系统和方法。 该方法包括从放置在至少一个感兴趣区域上的相机获取视频流,该感兴趣区域对支付手势进行分类。 从获得的视频流生成背景图像。 从视频流中至少连续两帧估计运动。 从背景图像和在所述至少一个感兴趣区域内发生的估计运动创建表示。 基于表示检测支付手势。

    USING HEAD MOUNTABLE DISPLAYS TO PROVIDE REAL-TIME ASSISTANCE TO EMPLOYEES IN A RETAIL ENVIRONMENT
    9.
    发明申请
    USING HEAD MOUNTABLE DISPLAYS TO PROVIDE REAL-TIME ASSISTANCE TO EMPLOYEES IN A RETAIL ENVIRONMENT 有权
    使用头戴式显示器向零售环境中的员工提供实时帮助

    公开(公告)号:US20150294394A1

    公开(公告)日:2015-10-15

    申请号:US14253074

    申请日:2014-04-15

    Abstract: A system for delivering one of a good and service to a customer in a retail environment includes a computer located at an order station. The computer is configured to receive an order for the one good and service. The system includes a first image capture device in communication with the computer. The first image capture device captures a first image of a customer ordering the one good and service in response to the order being submitted. The system further includes a wearable computer peripheral device configured to acquire the first image from the first image capture device and electronically display the first image to a user tasked with delivering the one good and service while carrying the second wearable computer peripheral device. In this manner, an identity of the customer can be compared against the first image upon a delivery of the one good and service.

    Abstract translation: 用于在零售环境中向客户传送商品和服务中的一个的系统包括位于订单站的计算机。 计算机被配置为接收一个商品和服务的订单。 该系统包括与计算机通信的第一图像捕获装置。 第一个图像捕获设备捕获客户的第一个图像,以响应提交的顺序订购一个商品和服务。 该系统还包括可佩戴的计算机外围设备,其被配置为从第一图像捕获设备获取第一图像,并且在携带第二可佩戴计算机外围设备的同时传送一个商品和服务的电子地将第一图像电子地显示给用户。 以这种方式,可以在交付一个商品和服务时将客户的身份与第一图像进行比较。

    SINGLE CAMERA VIDEO-BASED SPEED ENFORCEMENT SYSTEM WITH A SECONDARY AUXILIARY RGB TRAFFIC CAMERA
    10.
    发明申请
    SINGLE CAMERA VIDEO-BASED SPEED ENFORCEMENT SYSTEM WITH A SECONDARY AUXILIARY RGB TRAFFIC CAMERA 有权
    单相摄像机视频基础速度执行系统与二次辅助RGB交通摄像机

    公开(公告)号:US20140267733A1

    公开(公告)日:2014-09-18

    申请号:US13795744

    申请日:2013-03-12

    CPC classification number: G08G1/054 G08G1/0175

    Abstract: When performing video-based speed enforcement a main camera and a secondary RGB traffic camera are employed to provide improved accuracy of speed measurement and improved evidentiary photo quality compared to single camera approaches. The RGB traffic camera provides sparse secondary video data at a lower cost than a conventional stereo camera. The sparse stereo processing is performed using the main camera data and the sparse RGB camera data to estimate a height of one or more tracked vehicle features, which in turn is used to improve speed estimate accuracy. By using secondary video, spatio-temporally sparse stereo processing is enabled specifically for estimating the height of a vehicle feature above the road surface.

    Abstract translation: 当执行基于视频的速度执行时,与单个摄像机方法相比,使用主摄像机和次要RGB业务摄像机来提供改进的速度测量精度和改进的证据照片质量。 RGB传输相机以比传统立体相机低的成本提供稀疏的次要视频数据。 使用主相机数据和稀疏RGB相机数据来执行稀疏立体声处理,以估计一个或多个跟踪的车辆特征的高度,其又用于提高速度估计精度。 通过使用次级视频,专门用于估计路面上方的车辆特征的高度的时空稀疏立体声处理。

Patent Agency Ranking