2017
Human interaction recognition using low-rank matrix approximation and super descriptor tensor decomposition
ICASSP 2017accepted
Audio-visual recognition systems rely on efficient feature extraction. Many spatio-temporal interest point detectors for visual feature extraction are either too sparse, leading to loss of information, or too dense resulting in noisy and redundant information. Furthermore, interest point detectors d…