Deeply learning a discriminative spatial–temporal feature for robot action understanding

Human action recognition is a key component in modern artificial intelligent systems, such as sport analysis, video surveillance and human–computer interaction (HCI). Existing action recognition algorithms mainly depend on a predefined spatial sequence code book, which may fail to discover discriminative spatial–temporal features. In this paper, we propose to engineer the spatial–temporal action features that can deeply encode the similarity of...