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1. 发明授权

US09754178B2 Long-term static object detection 有权
公开(公告)号：US09754178B2
公开(公告)日：2017-09-05
申请号：US14830273
申请日：2015-08-19
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Quanfu Fan , Zuoxuan Lu , Sharathchandra U. Pankanti
IPC分类号： G06K9/00 , G06K9/46 , G06T7/246
CPC分类号： G06K9/4604 , G06K9/00771 , G06K2209/23 , G06T7/246 , G06T2207/30236
摘要： Software for static object detection that performs the following operations: (i) detecting an object that is present in at least one image of a set of images, wherein the set of images correspond to a time period; (ii) identifying a set of corner points for the detected object; (iii) tracking the object's presence in the set of images over the time period, wherein the object's presence is determined by matching the set of images to a template generated based on the identified corner points; and (iv) identifying the object as a static object when an amount of time corresponding to the object's presence in the set of images is greater than a predefined threshold.

2. 发明授权

US09380271B2 Coding scheme for identifying spatial locations of events within video image data 有权
标题翻译：用于识别视频图像数据内的事件的空间位置的编码方案
公开(公告)号：US09380271B2
公开(公告)日：2016-06-28
申请号：US14041304
申请日：2013-09-30
申请人： International Business Machines Corporation
发明人： Michael J. Desimone , Arun Hampapur , Zuoxuan Lu , Carl P. Mercier , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Chek K. Tan
IPC分类号： H04N7/18 , G06K9/00 , G06K9/48
CPC分类号： H04N19/25 , G06K9/00335 , G06K9/00771 , G06K9/481 , H04N7/18 , H04N19/167 , H04N19/182
摘要： An approach for generating a coding schema for identifying a spatial location of an event within video image data is provided. In one embodiment, there is a spatial representation tool, including a compression component configured to receive trajectory data of a trajectory of an object for an event within video image data; generate a lossless compressed contour-coded blob to encode the trajectory data of the trajectory of the object for the event within video image data; generate a lossy searchable code of the trajectory of the object for the event within the video image data; convert a region of interest within the video image data to a lossy query code, the region of interest corresponding to a sub-section of a visual display output of the video image data; and compare the lossy query code to the lossy searchable code within a relational database to identify a corresponding lossless trajectory data of the trajectory of the object for the event within the video image data.
摘要翻译：提供了一种用于生成用于识别视频图像数据内的事件的空间位置的编码模式的方法。在一个实施例中，存在空间表示工具，包括被配置为接收视频图像数据内的事件的对象的轨迹的轨迹数据的压缩部件; 生成无损压缩轮廓编码的斑点，以对视频图像数据内的事件的对象的轨迹的轨迹数据进行编码; 为视频图像数据内的事件生成对象的轨迹的有损可搜索码; 将所述视频图像数据内的感兴趣区域转换为有损查询代码，所述感兴趣区域与所述视频图像数据的视觉显示输出的子部分相对应; 并且将有损查询代码与关系数据库内的有损可搜索代码进行比较，以识别视频图像数据内事件的对象的轨迹的相应的无损轨迹数据。

3. 发明申请

US20160063344A1 LONG-TERM STATIC OBJECT DETECTION 有权
标题翻译：长期静态对象检测
公开(公告)号：US20160063344A1
公开(公告)日：2016-03-03
申请号：US14830273
申请日：2015-08-19
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Quanfu Fan , Zuoxuan Lu , Sharathchandra U. Pankanti
IPC分类号： G06K9/46 , G06T7/00 , G06K9/52 , G06T7/20 , G06K9/62
CPC分类号： G06K9/4604 , G06K9/00771 , G06K2209/23 , G06T7/246 , G06T2207/30236
摘要： Software for static object detection that performs the following operations: (i) detecting an object that is present in at least one image of a set of images, wherein the set of images correspond to a time period; (ii) identifying a set of corner points for the detected object; (iii) tracking the object's presence in the set of images over the time period, wherein the object's presence is determined by matching the set of images to a template generated based on the identified corner points; and (iv) identifying the object as a static object when an amount of time corresponding to the object's presence in the set of images is greater than a predefined threshold.
摘要翻译：执行以下操作的用于静态对象检测的软件：（i）检测存在于一组图像的至少一个图像中的对象，其中所述一组图像对应于时间段; （ii）识别被检测物体的一组角点; （iii）在所述时间段内跟踪所述对象在所述图像组中的存在，其中通过将所述图像集合与基于所识别的角点生成的模板匹配来确定所述对象的存在; 以及（iv）当与所述对象在所述图像组中的存在相对应的时间量大于预定阈值时，将所述对象识别为静态对象。

4. 发明授权

US09189688B2 Identifying spatial locations of events within video image data 有权
标题翻译：识别视频图像数据中事件的空间位置
公开(公告)号：US09189688B2
公开(公告)日：2015-11-17
申请号：US14595726
申请日：2015-01-13
申请人： International Business Machines Corporation
发明人： Michael J. Desimone , Arun Hampapur , Zuoxuan Lu , Carl P. Mercier , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Chek K. Tan
IPC分类号： G06K9/00
CPC分类号： H04N7/18 , G06F17/30061 , G06F17/30277 , G06F17/30802 , G06F17/30825 , G06K9/00335 , G06K9/00711 , G06K9/00771 , G06K9/48 , G06K2009/00738 , G06T7/97 , G06T2207/30232 , G06T2207/30241
摘要： An invention for identifying a spatial location of an event within video image data is provided. Disclosed are embodiments for detecting an object and obtaining trajectory data of a trajectory of the object within the video image data from a sensor device; converting the trajectory data into a contour-coded compressed image; generating, based on the trajectory data, a searchable code that contains a set of locations traversed by the trajectory of the object within the video image; associating the searchable code with the contour-coded compressed image in a database; and returning, in response to a query having a selected location that corresponds a location of the set of locations in the searchable code, an image of the trajectory data corresponding to the object based on the contour-coded compressed image in the database.
摘要翻译：提供了一种用于识别视频图像数据内的事件的空间位置的发明。公开了用于检测物体并获得来自传感器装置的视频图像数据内的物体的轨迹的轨迹数据的实施例; 将轨迹数据转换为轮廓编码的压缩图像; 基于所述轨迹数据生成包含由所述视频图像内的对象的轨迹穿过的一组位置的可搜索代码; 将可搜索的代码与轮廓编码的压缩图像相关联在数据库中; 并且响应于具有与所述可搜索代码中的所述位置集合的位置相对应的所选位置的查询，基于所述数据库中的所述轮廓编码的压缩图像返回与所述对象相对应的轨迹数据的图像。

5. 发明授权

US09883193B2 Coding scheme for identifying spatial locations of events within video image data 有权
公开(公告)号：US09883193B2
公开(公告)日：2018-01-30
申请号：US15145161
申请日：2016-05-03
申请人： International Business Machines Corporation
发明人： Michael J. Desimone , Arun Hampapur , Zuoxuan Lu , Carl P. Mercier , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Chek K. Tan
IPC分类号： H04N19/25 , G06K9/00 , G06K9/48 , H04N7/18 , H04N19/167 , H04N19/182
CPC分类号： H04N19/25 , G06K9/00335 , G06K9/00771 , G06K9/481 , H04N7/18 , H04N19/167 , H04N19/182
摘要： An approach for generating a coding schema for identifying a spatial location of an event within video image data is provided. In one embodiment, there is a spatial representation tool, including a compression component configured to receive trajectory data of a trajectory of an object for an event within video image data; generate a lossless compressed contour-coded blob to encode the trajectory data of the trajectory of the object for the event within video image data; generate a lossy searchable code of the trajectory of the object for the event within the video image data; convert a region of interest within the video image data to a lossy query code, the region of interest corresponding to a sub-section of a visual display output of the video image data; and compare the lossy query code to the lossy searchable code within a relational database to identify a corresponding lossless trajectory data of the trajectory of the object for the event within the video image data.

6. 发明授权

US09503693B2 Identifying spatial locations of events within video image data 有权
公开(公告)号：US09503693B2
公开(公告)日：2016-11-22
申请号：US14864007
申请日：2015-09-24
申请人： International Business Machines Corporation
发明人： Michael J. Desimone , Arun Hampapur , Zuoxuan Lu , Carl P. Mercier , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Chek K. Tan
IPC分类号： G06K9/00 , H04N7/18 , G06F17/30 , G06K9/48 , G06T7/00
CPC分类号： H04N7/18 , G06F17/30061 , G06F17/30277 , G06F17/30802 , G06F17/30825 , G06K9/00335 , G06K9/00711 , G06K9/00771 , G06K9/48 , G06K2009/00738 , G06T7/97 , G06T2207/30232 , G06T2207/30241
摘要： An invention for identifying a spatial location of an event within video image data is provided. Disclosed are embodiments for detecting an object and obtaining trajectory data of a trajectory of the object within the video image data from a sensor device; converting the trajectory data into a contour-coded compressed image; generating, based on the trajectory data, a searchable code that contains a set of locations traversed by the trajectory of the object within the video image; associating the searchable code with the contour-coded compressed image in a database; and returning, in response to a query having a selected location that corresponds a location of the set of locations in the searchable code, an image of the trajectory data corresponding to the object based on the contour-coded compressed image in the database.

7. 发明申请

US20160014378A1 IDENTIFYING SPATIAL LOCATIONS OF EVENTS WITHIN VIDEO IMAGE DATA 有权
公开(公告)号：US20160014378A1
公开(公告)日：2016-01-14
申请号：US14864007
申请日：2015-09-24
申请人： International Business Machines Corporation
发明人： Michael J. Desimone , Arun Hampapur , Zuoxuan Lu , Carl P. Mercier , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Chek K. Tan
IPC分类号： H04N7/18 , G06F17/30 , G06T7/00 , G06K9/48 , G06K9/00
CPC分类号： H04N7/18 , G06F17/30061 , G06F17/30277 , G06F17/30802 , G06F17/30825 , G06K9/00335 , G06K9/00711 , G06K9/00771 , G06K9/48 , G06K2009/00738 , G06T7/97 , G06T2207/30232 , G06T2207/30241
摘要： An invention for identifying a spatial location of an event within video image data is provided. Disclosed are embodiments for detecting an object and obtaining trajectory data of a trajectory of the object within the video image data from a sensor device; converting the trajectory data into a contour-coded compressed image; generating, based on the trajectory data, a searchable code that contains a set of locations traversed by the trajectory of the object within the video image; associating the searchable code with the contour-coded compressed image in a database; and returning, in response to a query having a selected location that corresponds a location of the set of locations in the searchable code, an image of the trajectory data corresponding to the object based on the contour-coded compressed image in the database.

8. 发明申请

US20160249063A1 CODING SCHEME FOR IDENTIFYING SPATIAL LOCATIONS OF EVENTS WITHIN VIDEO IMAGE DATA 有权
标题翻译：用于识别视频图像数据中的事件的空间位置的编码方案
公开(公告)号：US20160249063A1
公开(公告)日：2016-08-25
申请号：US15145161
申请日：2016-05-03
申请人： International Business Machines Corporation
发明人： Michael J. Desimone , Arun Hampapur , Zuoxuan Lu , Carl P. Mercier , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Chek K. Tan
IPC分类号： H04N19/25 , H04N19/182 , H04N19/167
CPC分类号： H04N19/25 , G06K9/00335 , G06K9/00771 , G06K9/481 , H04N7/18 , H04N19/167 , H04N19/182
摘要： An approach for generating a coding schema for identifying a spatial location of an event within video image data is provided. In one embodiment, there is a spatial representation tool, including a compression component configured to receive trajectory data of a trajectory of an object for an event within video image data; generate a lossless compressed contour-coded blob to encode the trajectory data of the trajectory of the object for the event within video image data; generate a lossy searchable code of the trajectory of the object for the event within the video image data; convert a region of interest within the video image data to a lossy query code, the region of interest corresponding to a sub-section of a visual display output of the video image data; and compare the lossy query code to the lossy searchable code within a relational database to identify a corresponding lossless trajectory data of the trajectory of the object for the event within the video image data.
摘要翻译：提供了一种用于生成用于识别视频图像数据内的事件的空间位置的编码模式的方法。在一个实施例中，存在空间表示工具，包括被配置为接收视频图像数据内的事件的对象的轨迹的轨迹数据的压缩部件; 生成无损压缩轮廓编码的斑点，以对视频图像数据内的事件的对象的轨迹的轨迹数据进行编码; 为视频图像数据内的事件生成对象的轨迹的有损可搜索码; 将所述视频图像数据内的感兴趣区域转换为有损查询代码，所述感兴趣区域与所述视频图像数据的视觉显示输出的子部分相对应; 并且将有损查询代码与关系数据库内的有损可搜索代码进行比较，以识别视频图像数据内事件的对象的轨迹的相应的无损轨迹数据。

9. 发明申请

US20150161453A1 IDENTIFYING SPATIAL LOCATIONS OF EVENTS WITHIN VIDEO IMAGE DATA 有权
标题翻译：在视频图像数据中识别事件的空间位置
公开(公告)号：US20150161453A1
公开(公告)日：2015-06-11
申请号：US14595726
申请日：2015-01-13
申请人： International Business Machines Corporation
发明人： Michael J. Desimone , Arun Hampapur , Zuoxuan Lu , Carl P. Mercier , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Chek K. Tan
IPC分类号： G06K9/00
CPC分类号： H04N7/18 , G06F17/30061 , G06F17/30277 , G06F17/30802 , G06F17/30825 , G06K9/00335 , G06K9/00711 , G06K9/00771 , G06K9/48 , G06K2009/00738 , G06T7/97 , G06T2207/30232 , G06T2207/30241
摘要： An invention for identifying a spatial location of an event within video image data is provided. Disclosed are embodiments for detecting an object and obtaining trajectory data of a trajectory of the object within the video image data from a sensor device; converting the trajectory data into a contour-coded compressed image; generating, based on the trajectory data, a searchable code that contains a set of locations traversed by the trajectory of the object within the video image; associating the searchable code with the contour-coded compressed image in a database; and returning, in response to a query having a selected location that corresponds a location of the set of locations in the searchable code, an image of the trajectory data corresponding to the object based on the contour-coded compressed image in the database.
摘要翻译：提供了一种用于识别视频图像数据内的事件的空间位置的发明。公开了用于检测物体并获得来自传感器装置的视频图像数据内的物体的轨迹的轨迹数据的实施例; 将轨迹数据转换为轮廓编码的压缩图像; 基于所述轨迹数据生成包含由所述视频图像内的对象的轨迹穿过的一组位置的可搜索代码; 将可搜索的代码与轮廓编码的压缩图像相关联在数据库中; 并且响应于具有与所述可搜索代码中的所述位置集合的位置相对应的所选位置的查询，基于所述数据库中的所述轮廓编码的压缩图像返回与所述对象相对应的轨迹数据的图像。

10. 发明申请

US20140028845A1 CODING SCHEME FOR IDENTIFYING SPATIAL LOCATIONS OF EVENTS WITHIN VIDEO IMAGE DATA 有权
标题翻译：用于识别视频图像数据中的事件的空间位置的编码方案
公开(公告)号：US20140028845A1
公开(公告)日：2014-01-30
申请号：US14041304
申请日：2013-09-30
申请人： International Business Machines Corporation
发明人： Michael J. Desimone , Arun Hampapur , Zuoxuan Lu , Carl P. Mercier , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Chek K. Tan
IPC分类号： H04N7/18
CPC分类号： H04N19/25 , G06K9/00335 , G06K9/00771 , G06K9/481 , H04N7/18 , H04N19/167 , H04N19/182
摘要： An approach for generating a coding schema for identifying a spatial location of an event within video image data is provided. In one embodiment, there is a spatial representation tool, including a compression component configured to receive trajectory data of a trajectory of an object for an event within video image data; generate a lossless compressed contour-coded blob to encode the trajectory data of the trajectory of the object for the event within video image data; generate a lossy searchable code of the trajectory of the object for the event within the video image data; convert a region of interest within the video image data to a lossy query code, the region of interest corresponding to a sub-section of a visual display output of the video image data; and compare the lossy query code to the lossy searchable code within a relational database to identify a corresponding lossless trajectory data of the trajectory of the object for the event within the video image data.
摘要翻译：提供了一种用于生成用于识别视频图像数据内的事件的空间位置的编码模式的方法。在一个实施例中，存在空间表示工具，包括被配置为接收视频图像数据内的事件的对象的轨迹的轨迹数据的压缩部件; 生成无损压缩轮廓编码的斑点，以对视频图像数据内的事件的对象的轨迹的轨迹数据进行编码; 为视频图像数据内的事件生成对象的轨迹的有损可搜索码; 将所述视频图像数据内的感兴趣区域转换为有损查询代码，所述感兴趣区域与所述视频图像数据的视觉显示输出的子部分相对应; 并且将有损查询代码与关系数据库内的有损可搜索代码进行比较，以识别视频图像数据内事件的对象的轨迹的相应的无损轨迹数据。

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