Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

Understanding human actions in visual data is tied to advances in complementary research
areas including object recognition, human dynamics, domain adaptation and semantic …

摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …

In text-video retrieval, the objective is to learn a cross-modal similarity function between a
text and a video that ranks relevant text-video pairs higher than irrelevant pairs. However …

Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

Human action recognition in videos is an active area of research in computer vision and
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …

Derived from rapid advances in computer vision and machine learning, video analysis tasks
have been moving from inferring the present state to predicting the future state. Vision-based …

Recurrent neural network (RNN) and long short-term memory (LSTM) have achieved great
success in processing sequential multimedia data and yielded the state-of-the-art results in …

Computer vision has a great potential to help our daily lives by searching for lost keys,
watering flowers or reminding us to take a pill. To succeed with such tasks, computer vision …

Abstract Convolutional Neural Networks (CNNs) have been established as a powerful class
of models for image recognition problems. Encouraged by these results, we provide an …