-
公开(公告)号:US20180121717A9
公开(公告)日:2018-05-03
申请号:US13665481
申请日:2012-10-31
发明人: Abbas Rafii , Salih Burak Gokturk , Carlo Tomasi , Fahri Sürücü
IPC分类号: G06K9/00 , G06F3/01 , H04N21/442 , H04N21/4223
CPC分类号: G06K9/00389 , A63F2300/1093 , G06F3/017 , G06K9/00382 , H04N21/4223 , H04N21/44218
摘要: Acquired three-dimensional positional information is used to identify user created gesture(s), which gesture(s) are classified to determine appropriate input(s) to an associated electronic device or devices. Preferably at at least one instance of a time interval, the posture of a portion of a user is recognized, based at least one factor such as shape, position, orientation, velocity. Posture over each of the instance(s) is recognized as a combined gesture. Because acquired information is three-dimensional, two gestures may occur simultaneously.
-
公开(公告)号:US09959463B2
公开(公告)日:2018-05-01
申请号:US13665481
申请日:2012-10-31
发明人: Abbas Rafii , Salih Burak Gokturk , Carlo Tomasi , Fahri Sürücü
IPC分类号: G06K1/00 , G06K9/00 , G06F3/01 , H04N21/4223 , H04N21/442
CPC分类号: G06K9/00389 , A63F2300/1093 , G06F3/017 , G06K9/00382 , H04N21/4223 , H04N21/44218
摘要: Acquired three-dimensional positional information is used to identify user created gesture(s), which gesture(s) are classified to determine appropriate input(s) to an associated electronic device or devices. Preferably at at least one instance of a time interval, the posture of a portion of a user is recognized, based at least one factor such as shape, position, orientation, velocity. Posture over each of the instance(s) is recognized as a combined gesture. Because acquired information is three-dimensional, two gestures may occur simultaneously.
-
3.
公开(公告)号:US09311715B2
公开(公告)日:2016-04-12
申请号:US13665471
申请日:2012-10-31
发明人: Abbas Rafii , Salih Burak Gokturk
CPC分类号: G06T7/0081 , G06K9/00201 , G06T7/11 , G06T7/136 , G06T2207/10028 , G06T2207/30261
摘要: A method and system analyzes data acquired by image systems to more rapidly identify objects of interest in the data. In one embodiment, z-depth data are segmented such that neighboring image pixels having similar z-depths are given a common label. Blobs, or groups of pixels with a same label, may be defined to correspond to different objects. Blobs preferably are modeled as primitives to more rapidly identify objects in the acquired image. In some embodiments, a modified connected component analysis is carried out where image pixels are pre-grouped into regions of different depth values preferably using a depth value histogram. The histogram is divided into regions and image cluster centers are determined. A depth group value image containing blobs is obtained, with each pixel being assigned to one of the depth groups.
-
-