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    • 12. 发明授权
    • Optimizing the detection of objects in images
    • 优化图像中物体的检测
    • US09235766B2
    • 2016-01-12
    • US13277936
    • 2011-10-20
    • Ying LiSharathchandra Pankanti
    • Ying LiSharathchandra Pankanti
    • G06K9/00
    • G06K9/00805B60W2550/10B60W2550/402G06K9/00818G06T7/70G06T2207/30261H04N5/2256H04N5/2354H04N7/185
    • A system and method detect objects in a digital image. At least positional data associated with a vehicle is received. Geographical information associated with the positional data is received. A probability of detecting a target object within a corresponding geographic area associated with the vehicle is determined based on the geographical data. The probability is compared to a given threshold. An object detection process is at least one of activated and maintained in an activated state in response to an object detection process in response to the probability being one of above and equal to the given threshold. The object detection process detects target objects within at least one image representing at least one frame of a video sequence of an external environment. The object detection process is at least one of deactivated and maintained in a deactivated state in response to the probability being below the given threshold.
    • 系统和方法检测数字图像中的对象。 至少接收到与车辆相关联的位置数据。 接收与位置数据相关联的地理信息。 基于地理数据确定检测与车辆相关联的相应地理区域内的目标对象的概率。 将概率与给定阈值进行比较。 对象检测处理是响应于上述等于给定阈值的概率而响应于对象检测处理而被激活并保持在激活状态中的至少一个。 对象检测处理检测表示外部环境的视频序列的至少一帧的至少一个图像内的目标对象。 响应于低于给定阈值的概率,对象检测处理是去激活和维持在去激活状态中的至少一个。
    • 14. 发明申请
    • MULTISENSOR EVIDENCE INTEGRATION AND OPTIMIZATION IN OBJECT INSPECTION
    • 多媒体证据集成和对象检查优化
    • US20130329049A1
    • 2013-12-12
    • US13489489
    • 2012-06-06
    • Norman HaasYing LiCharles A. OttoSharathchandra U. PankantiHoang Trinh
    • Norman HaasYing LiCharles A. OttoSharathchandra U. PankantiHoang Trinh
    • H04N7/18
    • B61L23/042
    • Video image data is acquired from synchronized cameras having overlapping views of objects moving past the cameras through a scene image in a linear array and with a determined speed. Processing units generate one or more object detections associated with confidence scores within frames of the camera video stream data. The confidence scores are modified as a function of constraint contexts including a cross-frame constraint that is defined by other confidence scores of other object detection decisions from the video data that are acquired by the same camera at different times; a cross-view constraint defined by other confidence scores of other object detections in the video data from another camera with an overlapping field-of-view; and a cross-object constraint defined by a sequential context of a linear array of the objects, spatial attributes of the objects and the determined speed of the movement of the objects relative to the cameras.
    • 视频图像数据从同步摄像机获取,该相机具有通过线性阵列中的场景图像以确定的速度移动通过相机的对象的重叠视图。 处理单元产生与相机视频流数据的帧内的置信度分数相关联的一个或多个对象检测。 可信度分数被修改为约束上下文的函数,包括由不同时间由同一相机获取的视频数据的其他对象检测决定的其他置信度分数定义的跨帧约束; 由具有重叠视场的另一相机的视频数据中的其他对象检测的其他置信度得分定义的横视约束; 以及由对象的线性阵列,对象的空间属性和所确定的对象相对于照相机的移动速度的顺序上下文定义的跨对象约束。
    • 15. 发明授权
    • Multisensor evidence integration and optimization in object inspection
    • 多传感器证据整合和物体检测优化
    • US09260122B2
    • 2016-02-16
    • US13489489
    • 2012-06-06
    • Norman HaasYing LiCharles A. OttoSharathchandra U. PankantiHoang Trinh
    • Norman HaasYing LiCharles A. OttoSharathchandra U. PankantiHoang Trinh
    • B61L23/04G06T7/20
    • B61L23/042
    • Video image data is acquired from synchronized cameras having overlapping views of objects moving past the cameras through a scene image in a linear array and with a determined speed. Processing units generate one or more object detections associated with confidence scores within frames of the camera video stream data. The confidence scores are modified as a function of constraint contexts including a cross-frame constraint that is defined by other confidence scores of other object detection decisions from the video data that are acquired by the same camera at different times; a cross-view constraint defined by other confidence scores of other object detections in the video data from another camera with an overlapping field-of-view; and a cross-object constraint defined by a sequential context of a linear array of the objects, spatial attributes of the objects and the determined speed of the movement of the objects relative to the cameras.
    • 视频图像数据从同步摄像机获取,该相机具有通过线性阵列中的场景图像以确定的速度移动通过相机的对象的重叠视图。 处理单元产生与相机视频流数据的帧内的置信度分数相关联的一个或多个对象检测。 可信度分数被修改为约束上下文的函数,包括由不同时间由同一相机获取的视频数据的其他对象检测决定的其他置信度分数定义的跨帧约束; 由具有重叠视场的另一相机的视频数据中的其他对象检测的其他置信度得分定义的横视约束; 以及由对象的线性阵列,对象的空间属性和所确定的对象相对于照相机的移动速度的顺序上下文定义的跨对象约束。