Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

Due to the increasing number of violence cases, there is a high demand for efficient
monitoring systems, however, these systems can be susceptible to failure. Therefore, this …

Abstract Facial Expression Recognition (FER) is utilized in various fields, such as education,
gaming, robotics, healthcare, and others. Facial expression techniques, for instance, an …

Human action or activity recognition in videos is a fundamental task in computer vision with
applications in surveillance and monitoring, self-driving cars, sports analytics, human-robot …

This research work aims to propose an ensemble model of different pre-trained CNN
networks combined with LSTM to detect a set of routine human activities practiced by the …

Moving image recognition has become a well-explored problem in computer vision.
However, it is difficult for the traditional convolutional neural network (CNN) model to …

Waypoint estimation (WE) has a wide range of applications for indoor walkers, such as fire
rescue and navigation to find exit doors, lifts, or stairs as examples of waypoints, etc. Data …

With the development of emerging information technology, the traditional management
methods of marine fishes are slowly replaced by new methods due to high cost, time …

3 维卷积神经网络(3D CNN) 与双流卷积神经网络(two-stream CNN) 是视频中人体行为识别
研究的常用架构, 且各有优势. 该文旨在研究结合两种架构且复杂度低, 识别精度高的人体行为 …

Human activity recognition (HAR) is a rapidly growing field of study with important practical
implications in areas as diverse as medicine, sports performance analysis, and the care of …