3 accepted papers
With the rapid development of intelligent surveillance, video anomaly detection has become a popular topic in related areas of artificial intelligence. In this work, the main focus is on those applications where the privacy of human targets is concerned, such as outdoor and indoor surveillance and s…
In this paper, we address the classification of medical actions with only one single sample by developing a novel one-shot learning framework which contains both cross-attention and dynamic time warping (DTW) modules. To be concrete, we firstly transform the raw skeleton sequence into the signal-lev…
Human abnormal activity detection for automatic surveillance systems is to detect abnormal objects and human behaviours in videos. In this paper, we propose to explicitly address different kinds of abnormal events by developing a two-stream fusion approach that integrates both geometry and image tex…