6 accepted papers
Labanotation is an important notation system widely used for recording dances. Numerous methods have been proposed for automatic Labanotation generation from motion capture data. Recently, the sequence-to-sequence (seq2seq) model is proposed. However, the encoder of the model only encodes the tempor…
Labanotation is an important notation system for recording dances. Automatically generating Labanotation scores from motion capture data has attracted more interest in recent years. Current methods usually focus on individual movement segments and generate Labanotation symbols one by one. This requi…
Recent works have shown that hierarchical models lead to significant improvement in human activity recognition, which can not only enhance descriptive capability, but also improve discriminative power. However, most existing methods exploit just one of the two advantages. In this paper, a new hierar…
In this paper, we propose an algorithm of abnormal event detection in crowded scenes using sparse representation over the bases of normal motion feature descriptors. To construct an over-complete dictionary, we extract the histogram of maximal optical flow projection (HMOFP) feature from a set of no…
In this paper, we propose a preprocessing strategy for refining the pedestrian images in person re-identification(re-id). The accomplishment of the person re-id task depends on the features extracted from pedestrian appearances. The best image matches are verified based on these features as identifi…
Subspace clustering aims to separate data from a union of low dimensional linear subspaces. Many recent subspace clustering methods based on self-representation are popular and achieve state-of-art performance. Dimensionality reduction is a common preprocessing procedure before applying these cluste…