Abnormal falls in public places have significant safety hazards and can easily lead to
serious consequences, such as trampling by people. Vision-driven fall event detection has …

With the rapid growth in the amount of video data, efficient video indexing and retrieval
methods have become one of the most critical challenges in multimedia management. For …

In this paper, line dancing′ s moving object detection technology based on machine vision
is studied to improve object detection. For this purpose, the improved frame difference for the …

Falls are a significant hazard to human safety and may have a devastating consequences in
a matter of seconds. This is especially true for elderly, since falls are the primary cause of …

In this paper, we propose an integrated approach to robot vision: a key frame-based
skeleton feature estimation and action recognition network (KFSENet) that incorporates …

Representation of dynamic textures (DTs), well‐known as a sequence of moving textures, is
a challenging problem in video analysis due to the disorientation of motion features …

A gait history image (GHI) is a spatial template that accumulates regions of motion into a
single image in which moving pixels are brighter than others. A new descriptor named Time …

Motion history image (MHI) is a spatio‐temporal template that temporal motion information is
collapsed into a single image where intensity is a function of recency of motion. Also, it …

The most emerging concerns in computer vision are size of data to process and privacy
preserving of the end user. Camera sensors are all around us these days, recording and …

In this paper, we propose an efficient approach for activity recognition in videos with key
frame extraction and deep learning architectures, named KFSENet. First, we propose a key …