Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …

Over the past two decades, human action recognition from video has been an important
area of research in computer vision. Its applications include surveillance systems, human …

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 …

As an interesting and emerging topic, co-saliency detection aims at simultaneously
extracting common salient objects from a group of images. On one hand, traditional co …

This paper proposes a hierarchical clustering multi-task learning (HC-MTL) method for joint
human action grouping and recognition. Specifically, we formulate the objective function into …

We propose a multi-region two-stream R-CNN model for action detection in realistic videos.
We start from frame-level action detection based on faster R-CNN, and make three …

Human action recognition is an active research area in both computer vision and machine
learning communities. In the past decades, the machine learning problem has evolved from …

In online action detection, the goal is to detect the start of an action in a video stream as
soon as it happens. For instance, if a child is chasing a ball, an autonomous car should …

Activity recognition has shown impressive progress in recent years. However, the
challenges of detecting fine-grained activities and understanding how they are combined …

摘要人体行为识别和深度学习理论是智能视频分析领域的研究热点, 近年来得到了学术界及工程
界的广泛重视, 是智能视频分析与理解, 视频监控, 人机交互等诸多领域的理论基础. 近年来 …