发明名称 Activity recognition systems and methods
摘要 An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.
申请公布号 US9547678(B2) 申请公布日期 2017.01.17
申请号 US201514741830 申请日期 2015.06.17
申请人 Nant Holdings IP, LLC 发明人 Wnuk Kamil;Witchey Nicholas J.
分类号 G06K9/00;G06F17/30;G06T11/20;G06K9/46 主分类号 G06K9/00
代理机构 Mauriel Kapouytian Woods LLP 代理人 Mauriel Kapouytian Woods LLP ;Noble Andrew A.;Mauriel Michael
主权项 1. An activity recognition system comprising: an activity database configured to store similarity scoring techniques for known activity graphs, each of the similarity scoring techniques being associated with activity ingestion metadata; and an activity recognition device coupled with the activity database and configured to: generate a plurality of temporal features from a digital representation of an observed activity using a feature detection algorithm;establish an observed activity graph comprising one or more clusters of temporal features generated from the digital representation, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph;select at least one contextually relevant scoring technique from the similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation; andcalculate a similarity activity score for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.
地址 Culver City CA US