This review article surveys extensively the current progresses made toward video-based
human activity recognition. Three aspects for human activity recognition are addressed …

Sports data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

We present a review on the current state of publicly available datasets within the human
action recognition community; highlighting the revival of pose based methods and recent …

This paper proposes a system to recognize quasi-periodic human actions from monocular
video sequences. First, each input video frame is analyzed and estimated to generate the …

This paper presents a novel approach to estimate the human pose from a body-scanned
point cloud. To do so, a predefined skeleton model is first initialized according to both the …

Human action recognition is used in areas such as surveillance, entertainment, and
healthcare. This paper proposes a system to recognize both single and continuous human …

In this paper, a novel vision‐based nighttime vehicle detection approach is presented,
combining state machines and downhill simplex optimization. In the proposed approach …

摘要提出一种基于人体轮廓表达的姿势学习框架来进行人体行为识别. 通过一种基于Procrustes
形状分析和局部保持投影的姿势特征表示方法, 从人体运动视频中提取具有平移 …

This paper considers the problem of inferring the dimensions of non-visible body parts from
images of incomplete bodies. This situation often occurs in CCTV videos of crowded scenes …

Human pose estimation, especially multi-person pose estimation, is vital for understanding
human abnormal behavior. In this paper, we develop a fractal hourglass model to …