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    • 1. 发明申请
    • Substructure and Boundary Modeling for Continuous Action Recognition
    • 连续动作识别的子结构和边界建模
    • US20130132316A1
    • 2013-05-23
    • US13491108
    • 2012-06-07
    • Jinjun WangZhaowen WangJing Xiao
    • Jinjun WangZhaowen WangJing Xiao
    • G06N5/02
    • G06N99/005
    • Embodiments of the present invention include systems and methods for improved state space modeling (SSM) comprising two added layers to model the substructure transition dynamics and action duration distribution. In embodiments, the first layer represents a substructure transition model that encodes the sparse and global temporal transition probability. In embodiments, the second layer models the action boundary characteristics by injecting discriminative information into a logistic duration model such that transition boundaries between successive actions can be located more accurately; thus, the second layer exploits discriminative information to discover action boundaries adaptively.
    • 本发明的实施例包括用于改进状态空间建模(SSM)的系统和方法,所述状态空间建模(SSM)包括两个附加的层,以模拟子结构转变动力学和动作持续时间分布。 在实施例中,第一层表示编码稀疏和全局时间转移概率的子结构转换模型。 在实施例中,第二层通过将识别信息注入逻辑持续时间模型来建模动作边界特征,使得可以更准确地定位连续动作之间的转移边界; 因此,第二层利用辨别信息自动发现行动界限。
    • 2. 发明授权
    • Substructure and boundary modeling for continuous action recognition
    • 连续动作识别的子结构和边界建模
    • US08892491B2
    • 2014-11-18
    • US13491108
    • 2012-06-07
    • Jinjun WangZhaowen WangJing Xiao
    • Jinjun WangZhaowen WangJing Xiao
    • G06N5/02G06T7/20G06N99/00
    • G06N99/005
    • Embodiments of the present invention include systems and methods for improved state space modeling (SSM) comprising two added layers to model the substructure transition dynamics and action duration distribution. In embodiments, the first layer represents a substructure transition model that encodes the sparse and global temporal transition probability. In embodiments, the second layer models the action boundary characteristics by injecting discriminative information into a logistic duration model such that transition boundaries between successive actions can be located more accurately; thus, the second layer exploits discriminative information to discover action boundaries adaptively.
    • 本发明的实施例包括用于改进状态空间建模(SSM)的系统和方法,所述状态空间建模(SSM)包括两个附加层以对子结构转变动力学和动作持续时间分布进行建模。 在实施例中,第一层表示编码稀疏和全局时间转移概率的子结构转换模型。 在实施例中,第二层通过将识别信息注入逻辑持续时间模型来建模动作边界特征,使得可以更准确地定位连续动作之间的转移边界; 因此,第二层利用辨别信息自动发现行动界限。