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1.发明授权Robust and computationally efficient video-based object tracking in regularized motion environments 有权在正则化的运动环境中，强大且计算效率高的基于视频的对象跟踪公开(公告)号：US09213901B2
公开(公告)日：2015-12-15
申请号：US14017360
申请日：2013-09-04
Applicant: Xerox Corporation
Inventor： Edgar A. Bernal , Wencheng Wu , Thomas F. Wade , Daniel Hann
IPC: G06K9/00
CPC classification number: G06K9/00771
Abstract: A method and system for video-based object tracking includes detecting an initial instance of an object of interest in video captured of a scene being monitored and establishing a representation of a target object from the initial instance of the object. The dominant motion trajectory characteristic of the target object are then determined and a frame-by-frame location of the target object can be collected in order to track the target object in the video.
Abstract translation: 一种用于基于视频的对象跟踪的方法和系统包括：检测被捕获的场景的视频的感兴趣对象的初始实例，并从对象的初始实例建立目标对象的表示。 然后确定目标对象的主要运动轨迹特征，并且可以收集目标对象的逐帧位置，以便跟踪视频中的目标对象。
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2.发明申请ROBUST AND COMPUTATIONALLY EFFICIENT VIDEO-BASED OBJECT TRACKING IN REGULARIZED MOTION ENVIRONMENTS 有权在经常运行的环境中稳健和有计划地进行基于视频的物体跟踪公开(公告)号：US20150063628A1
公开(公告)日：2015-03-05
申请号：US14017360
申请日：2013-09-04
Applicant: Xerox Corporation
Inventor： Edgar A. Bernal , Wencheng Wu , Thomas F. Wade , Daniel Hann
IPC: G06K9/00
CPC classification number: G06K9/00771
Abstract: A method and system for video-based object tracking includes detecting an initial instance of an object of interest in video captured of a scene being monitored and establishing a representation of a target object from the initial instance of the object. The dominant motion trajectory characteristic of the target object are then determined and a frame-by-frame location of the target object can be collected in order to track the target object in the video.
Abstract translation: 一种用于基于视频的对象跟踪的方法和系统包括：检测被捕获的场景的视频的感兴趣对象的初始实例，并从对象的初始实例建立目标对象的表示。 然后确定目标对象的主要运动轨迹特征，并且可以收集目标对象的逐帧位置，以便跟踪视频中的目标对象。
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3.发明授权Method and system for video-based vehicle tracking adaptable to traffic conditions 有权适用于交通状况的视频车辆跟踪方法和系统公开(公告)号：US09323991B2
公开(公告)日：2016-04-26
申请号：US14089887
申请日：2013-11-26
Applicant: Xerox Corporation
Inventor： Edgar A. Bernal , Peter Paul , Daniel Hann , Thomas F. Wade
CPC classification number: G06K9/00771 , G06K9/00765 , G06K9/00785 , G06T7/215 , G06T7/223 , G06T2207/10016 , G06T2207/20021 , G06T2207/20036 , G06T2207/30232 , G06T2207/30236
Abstract: A method and system for adaptable video-based object tracking includes acquiring video data from a scene of interest and identifying an initial instance of an object of interest in the acquired video data. A representation of a target object is then established. One or more motion parameters associated with said scene of interest are used to adjust the size of a search neighborhood associated with said target object. The target object is then tracked frame-by-frame in the video data.
Abstract translation: 一种用于基于适应性的基于视频的对象跟踪的方法和系统包括从感兴趣的场景中获取视频数据并识别所获取的视频数据中的感兴趣对象的初始实例。 然后建立目标对象的表示。 与所述感兴趣场景相关联的一个或多个运动参数用于调整与所述目标对象相关联的搜索邻域的大小。 然后在视频数据中逐帧跟踪目标对象。
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4.发明申请METHOD AND SYSTEM FOR VIDEO-BASED VEHICLE TRACKING ADAPTABLE TO TRAFFIC CONDITIONS 有权基于视频的车辆跟踪的方法和系统适用于交通条件公开(公告)号：US20150146917A1
公开(公告)日：2015-05-28
申请号：US14089887
申请日：2013-11-26
Applicant: Xerox Corporation
Inventor： Edgar A. Bernal , Peter Paul , Daniel Hann , Thomas F. Wade
CPC classification number: G06K9/00771 , G06K9/00765 , G06K9/00785 , G06T7/215 , G06T7/223 , G06T2207/10016 , G06T2207/20021 , G06T2207/20036 , G06T2207/30232 , G06T2207/30236
Abstract: A method and system for adaptable video-based object tracking includes acquiring video data from a scene of interest and identifying an initial instance of an object of interest in the acquired video data. A representation of a target object is then established. One or more motion parameters associated with said scene of interest are used to adjust the size of a search neighborhood associated with said target object. The target object is then tracked frame-by-frame in the video data.
Abstract translation: 一种用于基于适应性的基于视频的对象跟踪的方法和系统包括从感兴趣的场景中获取视频数据并识别所获取的视频数据中的感兴趣对象的初始实例。 然后建立目标对象的表示。 与所述感兴趣场景相关联的一个或多个运动参数用于调整与所述目标对象相关联的搜索邻域的大小。 然后在视频数据中逐帧跟踪目标对象。
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