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    VISION-BASED ON-STREET PARKED VEHICLE DETECTION VIA NORMALIZED-VIEW CLASSIFIERS AND TEMPORAL FILTERING
    14.
    发明申请
    VISION-BASED ON-STREET PARKED VEHICLE DETECTION VIA NORMALIZED-VIEW CLASSIFIERS AND TEMPORAL FILTERING 审中-公开
    基于视觉的道路停车检测通过正则化视图分类器和时间滤波

    公开(公告)号：US20160093214A1

    公开(公告)日：2016-03-31

    申请号：US14502045

    申请日：2014-09-30

    Applicant: Xerox Corporation

    Inventor： Wencheng Wu ,  Hao Wu ,  Yao Rong Wang ,  Robert P. Loce ,  Graham S. Pennington

    IPC: G08G1/14 ,  G06K9/00 ,  H04N7/18

    CPC classification number: G06K9/00812 ,  G08G1/147

    Abstract: A system for estimating parking occupancy includes a vehicle-detection device including an adjustable mast supporting an image capture device at a select height. The image capture device acquires video of a current parking area. A computer processor in communication with the image capture device is configured to receive the video data and define a region of interest in the video data. The processor is further configured to perform a spatial transform on the ROI to transform the ROI to a normalized geometric space. The processor is further configured to apply features of a detected object in the normalized geometric space to a vehicle classifier—previously trained with samples acquired from a normalized camera perspective similar to the normalized geometric space—and determine the occupancy of the current parking area using an output of the classifier.

    Abstract translation: 用于估计停车占用的系统包括车辆检测装置，其包括支撑选择高度的图像捕获装置的可调节桅杆。 图像捕获装置获取当前停车区域的视频。 与图像捕获设备通信的计算机处理器被配置为接收视频数据并且定义视频数据中的感兴趣区域。 处理器还被配置为在ROI上执行空间变换以将ROI转换为归一化的几何空间。 处理器还被配置为将归一化几何空间中检测到的物体的特征应用于先前使用从标准化的几何空间类似的归一化相机视角获取的样本进行训练的车辆分类器，并且使用以下方式确定当前停车区的占用 分类器的输出。

    SYSTEM AND METHOD FOR SEAT OCCUPANCY DETECTION FROM CEILING MOUNTED CAMERA USING ROBUST ADAPTIVE THRESHOLD CRITERIA
    17.
    发明申请
    SYSTEM AND METHOD FOR SEAT OCCUPANCY DETECTION FROM CEILING MOUNTED CAMERA USING ROBUST ADAPTIVE THRESHOLD CRITERIA 有权
    使用鲁棒自适应阈值标准的天花板安装摄像机的座椅检测系统和方法

    公开(公告)号：US20160092733A1

    公开(公告)日：2016-03-31

    申请号：US14673943

    申请日：2015-03-31

    Applicant: Xerox Corporation

    Inventor： Robert P. Loce ,  Waqas Sultani ,  Hao Wu ,  Beilei Xu

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06K9/32

    CPC classification number: G06K9/00624 ,  G06K9/00342 ,  G06K9/00771 ,  G06K9/00838 ,  G06K9/3233 ,  G06K9/46 ,  G06K9/4642 ,  G06K9/4652 ,  G06K9/52 ,  G06K9/6212 ,  G06K9/6215 ,  G06K9/6267 ,  G06K2009/4666

    Abstract: A method for detecting sitting behavior includes acquiring a sequence of frames capturing a scene-of-interest at an overhead view. The method includes detecting at least one empty seat within the scene-of-interest and associating the seat as being unoccupied and the frame as a reference frame. The method includes extracting reference features describing a region of the unoccupied seat in the reference frame and quantifying the reference features to form a reference feature vector. The method includes extracting features describing the region in a given frame and quantifying the features to form a current feature vector. The method includes measuring a change in a feature vector over time using the reference feature vector and the current feature vector. The method includes and determining a status of the seat in the given frame as being one of occupied and unoccupied based on the change in the feature vector.

    Abstract translation: 用于检测坐姿行为的方法包括获取在俯视图处拍摄感兴趣场景的帧序列。 所述方法包括：检测所述兴趣场景内的至少一个空座位，并将所述座椅未被占用并将所述框架作为参考框架。 该方法包括提取描述参考帧中的空闲座位的区域的参考特征并量化参考特征以形成参考特征向量。 该方法包括提取描述给定帧中的区域的特征并量化特征以形成当前特征向量。 该方法包括使用参考特征向量和当前特征向量来测量特征向量随时间的变化。 该方法包括并且基于特征向量的改变将给定帧中的座席的状态确定为占用和未占用之一。

    VEHICLE DIMENSION ESTIMATION FROM VEHICLE IMAGES
    18.
    发明申请
    VEHICLE DIMENSION ESTIMATION FROM VEHICLE IMAGES 有权
    车辆图像的车辆尺寸估计

    公开(公告)号：US20150302611A1

    公开(公告)日：2015-10-22

    申请号：US14254360

    申请日：2014-04-16

    Applicant: Xerox Corporation

    Inventor： Zhigang Fan ,  Hao Wu ,  Yao Rong Wang

    IPC: G06T7/60 ,  G06T7/00 ,  G06K9/62 ,  G06K9/00

    CPC classification number: G06T7/602 ,  G06K9/00791 ,  G06K9/52 ,  G06T7/60 ,  G06T7/73 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/30236 ,  G06T2207/30248 ,  G06T2210/12

    Abstract: A method and system for determining one or more dimension estimations for a vehicle. A sequence of image frames of a vehicle is received, and a digital representation of the vehicle is extracted from each image in the sequence of image frames. A bounding box is determined for the vehicle based upon the extracted digital representation for each digital representation of the vehicle and at least one dimension of the vehicle is estimated based upon the determined bounding box. An indication of the at least one estimated dimension is output. The indication of at least one estimated dimension is transferred as an input to a comparison technique for further processing the indication of the at least one estimated dimension. The comparison technique can include a parking determination process configured to determine a recommended spot for the vehicle based upon the indication of the at least one estimated dimension.

    Abstract translation: 一种用于确定车辆的一个或多个维度估计的方法和系统。 接收车辆的一系列图像帧，并且从图像帧序列中的每个图像中提取车辆的数字表示。 基于车辆的每个数字表示的提取的数字表示，为车辆确定边界框，并且基于所确定的边界框来估计车辆的至少一个维度。 输出至少一个估计尺寸的指示。 将至少一个估计维度的指示作为输入传送到比较技术，以进一步处理至少一个估计维度的指示。 比较技术可以包括停车确定过程，其被配置为基于至少一个估计维度的指示来确定车辆的推荐点。

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