METHOD AND SYSTEM FOR VANDALISM AND/OR LOITERING DETECTION USING VIDEO
    11.
    发明申请
    METHOD AND SYSTEM FOR VANDALISM AND/OR LOITERING DETECTION USING VIDEO 有权
    使用视频的方法和/或LOADRING检测的方法和系统

    公开(公告)号:US20160096506A1

    公开(公告)日:2016-04-07

    申请号:US14503957

    申请日:2014-10-01

    CPC classification number: B60R25/102 G06K9/00771 G08B13/19613

    Abstract: This disclosure provides a method and system to detect a predefined activity, e.g., vandalism, loitering, trespass, etc., associated with a parked vehicle. According to an exemplary embodiment, a method includes capturing video of a parking area and processing the video to detect vandalism and/or loitering with respect to a region of interest associated with the parked vehicle.

    Abstract translation: 本公开提供了一种用于检测与停放的车辆相关联的预定活动(例如,故意破坏,游荡,侵入等)的方法和系统。 根据示例性实施例,一种方法包括捕获停车区域的视频并处理该视频以检测相对于与停放的车辆相关联的感兴趣区域的故意破坏和/或游荡。

    VISION-BASED ON-STREET PARKED VEHICLE DETECTION VIA NORMALIZED-VIEW CLASSIFIERS AND TEMPORAL FILTERING
    12.
    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

    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。

    VEHICLE DETECTION METHOD AND SYSTEM INCLUDING IRRELEVANT WINDOW ELIMINATION AND/OR WINDOW SCORE DEGRADATION
    14.
    发明申请
    VEHICLE DETECTION METHOD AND SYSTEM INCLUDING IRRELEVANT WINDOW ELIMINATION AND/OR WINDOW SCORE DEGRADATION 有权
    车辆检测方法和系统,其中包括无效窗口消除和/或窗口分辨率降级

    公开(公告)号:US20150222859A1

    公开(公告)日:2015-08-06

    申请号:US14171022

    申请日:2014-02-03

    CPC classification number: G06K9/00624 G06K9/00771 G06K2209/23

    Abstract: This disclosure provides vehicle detection methods and systems including irrelevant search window elimination and/or window score degradation. According to one exemplary embodiment, provided is a method of detecting one or more parked vehicles in a video frame, wherein candidate search windows are limited to one or more predefined window shapes. According to another exemplary embodiment, the method includes degrading a classification score of a candidate search window based on aspect ratio, window overlap area and/or a global maximal classification.

    Abstract translation: 本公开提供了车辆检测方法和系统,包括无关的搜索窗口消除和/或窗口评分降级。 根据一个示例性实施例,提供了一种检测视频帧中的一个或多个停放车辆的方法,其中候选搜索窗口被限制为一个或多个预定窗口形状。 根据另一示例性实施例,该方法包括基于宽高比,窗口重叠区域和/或全局最大分类来降级候选搜索窗口的分类分数。

    METHODS AND SYSTEMS FOR VEHICLE THEFT DETECTION AND PREVENTION USING A SMARTPHONE AND VIDEO-BASED PARKING TECHNOLOGY
    15.
    发明申请
    METHODS AND SYSTEMS FOR VEHICLE THEFT DETECTION AND PREVENTION USING A SMARTPHONE AND VIDEO-BASED PARKING TECHNOLOGY 审中-公开
    使用智能手机和基于视频的停车技术进行车辆检测和预防的方法和系统

    公开(公告)号:US20150022663A1

    公开(公告)日:2015-01-22

    申请号:US13944177

    申请日:2013-07-17

    CPC classification number: B60R25/102 G08B13/19602 H04N7/183

    Abstract: Methods and systems for preventing vehicle theft. A video stream of a parking area wherein a vehicle is parked can be captured, the video stream provided by a theft notification service to which the vehicle is pre-registered. The vehicle in the video stream can be identified. The video stream is then analyzed to detect motion with respect to the vehicle. An alert can then be generated if motion is detected.

    Abstract translation: 防止车辆盗窃的方法和系统。 可以捕获车辆停放的停车区域的视频流,该车辆被预注册的盗窃通知服务提供的视频流。 视频流中的车辆可以被识别。 然后分析视频流以检测相对于车辆的运动。 然后如果检测到运动,则可以产生警报。

    VIDEO-BASED SYSTEM AND METHOD FOR PARKING OCCUPANCY DETECTION
    16.
    发明申请
    VIDEO-BASED SYSTEM AND METHOD FOR PARKING OCCUPANCY DETECTION 有权
    基于视频的系统和停车检测方法

    公开(公告)号:US20170024619A1

    公开(公告)日:2017-01-26

    申请号:US14805608

    申请日:2015-07-22

    Abstract: A spatiotemporal system and method for parking occupancy detection. The system can generally include suitable image acquisition, processing, transmission and data storage devices configured to carry out the method which includes generating and processing spatiotemporal images to detect the presence of an object in a region of interest, such as a vehicle in a parking stall.

    Abstract translation: 一种用于停车占用检测的时空系统和方法。 该系统通常可以包括合适的图像获取,处理,传输和数据存储设备,其被配置为执行该方法,该方法包括生成和处理时空图像以检测感兴趣区域中的对象的存在,例如停车位中的车辆 。

    Method for object size calibration to aid vehicle detection for video-based on-street parking technology
    17.
    发明授权
    Method for object size calibration to aid vehicle detection for video-based on-street parking technology 有权
    用于物体大小校准的方法,用于辅助基于视频的路边停车技术的车辆检测

    公开(公告)号:US09449236B2

    公开(公告)日:2016-09-20

    申请号:US14070812

    申请日:2013-11-04

    CPC classification number: G06K9/00812 G06K9/00771 G08G1/141 G08G1/168

    Abstract: A method for determining parking availability includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method includes detecting at least one object located in the parking area. The method includes determining boundaries of the parking area. The boundaries include at least an inner boundary relative to the image capture device and an outer boundary relative to the image capture device. The outer boundary is substantially parallel to the inner boundary. The method further includes computing a length of at least one of the object and a space between objects using an object pixel for each of the inner and outer boundaries. Using the computed length, The method includes determining a parking availability in the parking area. The method includes outputting a notice of the parking availability to a user.

    Abstract translation: 用于确定停车可用性的方法包括从监视停车区域的图像捕获装置中取出的帧序列中接收视频数据。 该方法包括检测位于停车区域中的至少一个物体。 该方法包括确定停车区域的边界。 边界至少包括相对于图像捕获装置的内边界和相对于图像捕获装置的外边界。 外边界基本上平行于内边界。 该方法还包括使用对于每个内边界和外边界的对象像素来计算对象中的至少一个和对象之间的空间的长度。 使用计算的长度,该方法包括确定停车区域中的停车可用性。 该方法包括向用户输出停车可用性的通知。

    Vehicle dimension estimation from vehicle images
    18.
    发明授权
    Vehicle dimension estimation from vehicle images 有权
    车辆图像的车辆尺寸估计

    公开(公告)号:US09396553B2

    公开(公告)日:2016-07-19

    申请号:US14254360

    申请日:2014-04-16

    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。

    Hybrid method and system of video and vision based access control for parking stall occupancy determination
    19.
    发明授权
    Hybrid method and system of video and vision based access control for parking stall occupancy determination 有权
    基于视频和视觉的混合方法和系统的门禁占用确定访问控制

    公开(公告)号:US09224062B2

    公开(公告)日:2015-12-29

    申请号:US13963200

    申请日:2013-08-09

    Abstract: Hybrid methods, systems and processor-readable media for video and vision based access control for parking occupancy determination. One or more image frames of a parking area of interest can be acquired from among two or more regions of interest defined with respect to the parking area of interest. The regions of interest can be analyzed for motion detection or image content change detection. An image content classification operation can be performed with respect to a first region of interest among the regions of interest based on the result of the image content change detection. An object tracking operation can then be performed with respect to a second region of interest among the regions of interest if the result of the image content classification operation indicates a presence of one or more objects of interest within the parking area of interest.

    Abstract translation: 用于基于视频和视觉的访问控制的混合方法,系统和处理器可读介质,用于停车占用确定。 可以从相关于感兴趣的停车区域定义的两个或更多个关注区域中获取感兴趣的停车区域的一个或多个图像帧。 可以分析感兴趣区域的运动检测或图像内容变化检测。 可以基于图像内容变化检测的结果,针对感兴趣区域中的第一感兴趣区域执行图像内容分类操作。 如果图像内容分类操作的结果表示感兴趣的停车区域内的一个或多个感兴趣对象的存在,则可以针对感兴趣区域中的第二感兴趣区域执行对象跟踪操作。

    AUTOMATIC TRAINING OF A PARKED VEHICLE DETECTOR FOR LARGE DEPLOYMENT
    20.
    发明申请
    AUTOMATIC TRAINING OF A PARKED VEHICLE DETECTOR FOR LARGE DEPLOYMENT 有权
    用于大型部署的停车检测器的自动训练

    公开(公告)号:US20150220791A1

    公开(公告)日:2015-08-06

    申请号:US14172525

    申请日:2014-02-04

    CPC classification number: G06K9/00812 G06K9/00785 H04N7/183

    Abstract: Methods and systems for training a parked vehicle detector. Video data regarding one or more parking sites can be captured. Positive training samples can then be collected from the video data based on a combination of one or more automated computing methods and human-input auxiliary information. Additionally, negative training samples can be collected from the video data based on automated image analyses with respect to the captured video data. The positive training samples and the negative training samples can then be used to train, re-train or update one or more parked vehicle detectors with respect to the parking site(s) for use in managing parking at the parking site(s).

    Abstract translation: 训练停放车辆检测器的方法和系统。 可以捕获关于一个或多个停车位置的视频数据。 然后可以基于一个或多个自动计算方法和人工输入的辅助信息的组合从视频数据中收集积极的训练样本。 另外,可以基于针对所捕获的视频数据的自动图像分析从视频数据中收集负训练样本。 然后可以使用积极的训练样本和负面训练样本来训练,重新训练或更新一个或多个驻车车辆检测器相对于停车场用于管理停车场的停车场。

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