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Novel automated detection of sports activities using shadow videos
The aim of this work is to investigate the use of shadow videos for daily sports activity detection and to contribute to the emerging field of...
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A deep learning-assisted visual attention mechanism for anomaly detection in videos
Ensuring public safety in urban areas is a crucial element in maintaining a good quality of life. The successful deployment of video surveillance...
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Design and Augmentation of a Deep Learning Based Vehicle Detection Model for Low Light Intensity Conditions
The development of autonomous vehicles and the Advanced Driver Assistance System (ADAS) has accelerated recently, effective traffic management and...
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Insights into aerial intelligence: assessing CNN-based algorithms for human action recognition and object detection in diverse environments
Today’s era follows a data-driven decision process for large-scale environment analysis. Aerial view-based decision process plays a key role in...
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Contactless interaction recognition and interactor detection in multi-person scenes
Human interaction recognition is an essential task in video surveillance. The current works on human interaction recognition mainly focus on the...
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Residual deep gated recurrent unit-based attention framework for human activity recognition by exploiting dilated features
Human activity recognition (HAR) in video streams becomes a thriving research area in computer vision and pattern recognition. Activity recognition...
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A survey on intelligent human action recognition techniques
Human Action Recognition is an essential research area in computer vision due to its automated nature of video monitoring. Human Action Recognition...
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Classifying Sport-Related Human Activity from Thermal Vision Sensors Using CNN and LSTM
In this work, we describe a classification of five sport-related human activities which are sensed by a thermal vision sensor. First, we have...
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Detection of weather images by using spiking neural networks of deep learning models
The transmission of weather information of a location at certain time intervals affects the living conditions of the people there directly or...
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Text detection and localization in scene images: a broad review
Nowadays, text detection and localization have gained much popularity in the field of text analysis systems as they pave the way for the number of...
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Crowd Size Estimation: Smart Gathering Management
Linear increase in population which results in overcrowding has become an unavoidable element in any public gathering. Public safety under such...
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Deep anomaly detection through visual attention in surveillance videos
This paper describes a method for learning anomaly behavior in the video by finding an attention region from spatiotemporal information, in contrast...
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Physical Movement Monitoring Method of College Physical Education Students Based on Genetic Algorithm
In order to better improve the physical fitness and comprehensive quality of college physical education students, this paper puts forward the...
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Role of Multimodal Learning Systems in Technology-Enhanced Learning (TEL): A Sco** Review
Technology-enhanced learning systems, specifically multimodal learning technologies, use sensors to collect data from multiple modalities to provide...
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Security Issues in Deep Learning
Deep learning has created substantial improvements for industries and set the tempo for a destiny constructed on artificial intelligence (AI)...
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Digital image and video watermarking: methodologies, attacks, applications, and future directions
In recent years, internet technology has grown in advance, and multimedia data-sharing growth rates have skyrocketed. As a result, protecting...
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Application of VR Technology in Practical Courses of Preschool Education Specialty
In recent years, with the rapid development of science and technology, VR (virtual reality) technology, as the most potential modern information...
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How are you Riding? Transportation Mode Identification from Raw GPS Data
Analyzing the way individuals move is fundamental to understand the dynamics of humanity. Transportation mode plays a significant role in human...
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Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring
Advances in visual perceptual tasks have been mainly driven by the amount, and types, of annotations of large-scale datasets. Researchers have...
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Develo** a hierarchical model for unraveling conspiracy theories
A conspiracy theory (CT) suggests covert groups or powerful individuals secretly manipulate events. Not knowing about existing conspiracy theories...
