发明名称 Distributive hierarchical model for object recognition in video
摘要 Various examples are provided for object recognition in video. In one example, among others, a system includes processing circuitry including a processor. The processing circuitry is configured to process a sequence of images to recognize an object in the images, the recognition of the object based upon a hierarchical model. In another example, a method includes determining input data from a plurality of overlapping pixel patches of a video image; determining a plurality of corresponding states based at least in part upon the input data and an over-complete dictionary of filters; and determining a cause based at least in part upon the plurality of corresponding states. The cause may be used to identify an object in the video image.
申请公布号 US9536177(B2) 申请公布日期 2017.01.03
申请号 US201414557262 申请日期 2014.12.01
申请人 UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INC. 发明人 Chalasani Rakesh;Principe Jose C.
分类号 G06K9/00;G06K9/62;G06K9/32;G06K9/46;G06F17/30 主分类号 G06K9/00
代理机构 Thomas | Horstemeyer LLP 代理人 Thomas | Horstemeyer LLP ;Linder Christopher B.;Schoen Randy R.
主权项 1. A system, comprising: processing circuitry including a processor, the processing circuitry configured to process a sequence of images to recognize an object in the sequence of images, the recognition of the object based upon a hierarchical model, where: a first level of the hierarchical model includes: a state estimator configured to determine state data associated with one image of the sequence of images based at least in part upon input data from the one image, the input data comprising a plurality of vectors associated with corresponding overlapping pixel patches extracted from the one image; and a parameter estimator configured to determine parameters of the state estimator of the first level based at least in part upon the input data from the one image; and a second level of the hierarchical model includes: a state estimator configured to determine state data associated with the one image based at least in part upon input data from the first level of the hierarchical model and provide a top-down prediction to the state estimator of the first level; and a parameter estimator configured to determine parameters of the state estimator of the second level based at least in part upon the input data from the first level.
地址 Gainesville FL US