Material identification from a spectral filtered patterned image without demosaicing
    26.
    发明授权
    Material identification from a spectral filtered patterned image without demosaicing 有权
    材料识别从光谱滤波图案图像没有去马赛克

    公开(公告)号:US09523608B2

    公开(公告)日:2016-12-20

    申请号:US13715446

    申请日:2012-12-14

    Abstract: What is disclosed is a system and method for processing image data acquired using a multi-band infrared camera system with a spectral mosaic filter arranged in a geometric pattern without having to perform a demosaicing that is typical with processing data from an array of sensors. In one embodiment, image data that has been captured using a camera system that has a spectral filter mosaic comprising a plurality of spectral filters arrayed on a grid. A material index is determined, using intensity values collected by sensor elements associated with a cell's respective spectral filters. All of the material indices collectively generate a material index image. Thereafter, material identification is performed on the material index image using, for example, pixel classification. Because the demosaicing step can be effectively avoided, image processing time is reduced. The teachings hereof find their uses in a wide array of applications including automated HOV/HOT violation detection.

    Abstract translation: 所公开的是一种用于处理使用具有以几何图案排列的频谱马赛克滤波器的多频带红外相机系统获取的图像数据的系统和方法,而不必执行典型的来自传感器阵列的数据处理的去马赛克。 在一个实施例中,已经使用具有包括排列在网格上的多个频谱滤波器的频谱滤波器马赛克的相机系统捕获的图像数据。 使用与单元相应的光谱滤波器相关联的传感器元件收集的强度值来确定材料索引。 所有材料指标共同生成材料索引图像。 此后,使用例如像素分类对材料索引图像进行材料识别。 因为可以有效地避免去马赛克步骤,所以减少了图像处理时间。 其教导在各种应用中发现其用途,包括自动HOV / HOT违规检测。

    Video tracking based method for automatic sequencing of vehicles in drive-thru applications
    27.
    发明授权
    Video tracking based method for automatic sequencing of vehicles in drive-thru applications 有权
    基于视频跟踪的方法,用于在直通应用中自动排序车辆

    公开(公告)号:US09471889B2

    公开(公告)日:2016-10-18

    申请号:US14260915

    申请日:2014-04-24

    Abstract: A method for updating an event sequence includes acquiring video data of a queue area from at least one image source; searching the frames for subjects located at least near a region of interest (ROI) of defined start points in the video data; tracking a movement of each detected subject through the queue area over a subsequent series of frames; using the tracking, determining if a location of the a tracked subject reaches a predefined merge point where multiple queues in the queue area converge into a single queue lane; in response to the tracked subject reaching the predefined merge point, computing an observed sequence of where the tracked subject places among other subjects approaching an end-event point; and, updating a sequence of end-events to match the observed sequence of subjects in the single queue lane.

    Abstract translation: 一种用于更新事件序列的方法包括从至少一个图像源获取队列区域的视频数据; 在所述帧中搜索位于所述视频数据中定义的起点的至少接近感兴趣区域(ROI)的对象; 在随后的一系列帧中跟踪每个检测到的对象通过队列区域的移动; 使用所述跟踪,确定被跟踪对象的位置是否到达所述队列区域中的多个队列收敛到单个队列通道中的预定义合并点; 响应于被跟踪的对象到达预定义的合并点,计算被跟踪对象在接近终点事件点的其他主体中所在的观察序列; 并且更新结束事件序列以匹配在单个队列通道中观察到的受试者序列。

    Dynamic multi-windowed image enhancement for interactive HOV detection
    28.
    发明授权
    Dynamic multi-windowed image enhancement for interactive HOV detection 有权
    用于交互式HOV检测的动态多窗口图像增强

    公开(公告)号:US09420171B2

    公开(公告)日:2016-08-16

    申请号:US14049578

    申请日:2013-10-09

    CPC classification number: H04N5/23229 G06K9/00785 G06T5/008 G06T5/40 H04N7/183

    Abstract: A system and method for enhancing images including an image capture device operably connected to a data processing device that captures an image of a target vehicle, and a processor-usable medium embodying computer code, said processor-usable medium being coupled to said data processing device, said computer program code comprising instructions executable by said processor. The instructions configured for identifying a region within the image including a window of the target vehicle, applying a first image enhancement effect to the identified region, applying a second image enhancement effect to a remainder of the image not including the identified region, the second image enhancement effect different than the first image enhancement effect.

    Abstract translation: 一种用于增强图像的系统和方法,包括可操作地连接到捕获目标车辆的图像的数据处理装置的图像捕获装置和体现计算机代码的处理器可用介质,所述处理器可用介质耦合到所述数据处理装置 所述计算机程序代码包括可由所述处理器执行的指令。 所述指令被配置用于识别包括所述目标车辆的窗口的所述图像内的区域,对所识别的区域应用第一图像增强效果,将第二图像增强效果应用于不包括所识别的区域的所述图像的其余部分,所述第二图像 增强效果不同于第一图像增强效果。

    Methods and systems for selecting target vehicles for occupancy detection
    29.
    发明授权
    Methods and systems for selecting target vehicles for occupancy detection 有权
    选择目标车辆进行占用检测的方法和系统

    公开(公告)号:US09336450B2

    公开(公告)日:2016-05-10

    申请号:US13910346

    申请日:2013-06-05

    CPC classification number: G06K9/2027 G06K9/00838

    Abstract: Methods and systems for selecting a target vehicle for occupancy detection utilizing vehicle identification information. The vehicle identification information (e.g., license plate information) can be obtained from a vehicle identification unit (e.g., ALPR) to identify a vehicle approaching a high occupancy measurement zone. The vehicle identification information from the vehicle identification unit can be transferred to a vehicle occupancy unit having a flash illuminator unit and an image-capturing unit. The flash illuminator unit and the image-capturing unit are not enabled if the vehicle's occupancy state has already been measured at a prior location based on the vehicle identification information. The vehicle occupancy detection unit and the vehicle identification unit work together in a coordinated fashion to reduce the number of times the flash illuminator unit needs to fire and extends the life of the illuminator unit, thus reducing the cost of maintenance.

    Abstract translation: 使用车辆识别信息选择目标车辆进行占用检测的方法和系统。 车辆识别信息(例如,车牌信息)可以从车辆识别单元(例如,ALPR)获得,以识别接近高占用测量区域的车辆。 来自车辆识别单元的车辆识别信息可以被传送到具有闪光照明器单元和图像捕获单元的车辆占用单元。 如果基于车辆识别信息已经在现有位置测量了车辆的占用状态,则闪光照明器单元和图像捕获单元不被启用。 车辆占用检测单元和车辆识别单元以协调的方式协同工作,以减少闪光照明器单元需要点火的次数并延长照明器单元的寿命,从而降低维护成本。

    METHOD AND SYSTEM FOR DETECTING UNINSURED MOTOR VEHICLES
    30.
    发明申请
    METHOD AND SYSTEM FOR DETECTING UNINSURED MOTOR VEHICLES 有权
    用于检测未安装的电动机的方法和系统

    公开(公告)号:US20160035037A1

    公开(公告)日:2016-02-04

    申请号:US14446938

    申请日:2014-07-30

    CPC classification number: G06Q40/08 G06K9/3258 G06K9/4661

    Abstract: A video sequence can be continuously acquired at a predetermined frame rate and resolution by an image capturing unit installed at a location. A video frame can be extracted from the video sequence when a vehicle is detected at an optimal position for license plate recognition by detecting a blob corresponding to the vehicle and a virtual line on an image plane. The video frame can be pruned to eliminate a false positive and multiple frames with respect to a similar vehicle before transmitting the frame via a network. A license plate detection/localization can be performed on the extracted video frame to identify a sub-region with respect to the video frame that are most likely to contain a license plate. A license plate recognition operation can be performed and an overall confidence assigned to the license plate recognition result.

    Abstract translation: 可以通过安装在位置的图像捕获单元以预定的帧率和分辨率连续地获取视频序列。 当在车牌识别的最佳位置检测到车辆时,可以通过检测与车辆相对应的车队和图像平面上的虚拟线路,从视频序列中提取视频帧。 在通过网络发送帧之前,可以修剪视频帧以消除相对于类似车辆的假正和多帧。 可以对所提取的视频帧执行车牌检测/定位,以识别相对于最可能包含车牌的视频帧的子区域。 可以执行车牌识别操作,并且得到分配给牌照识别的总体置信度。

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