Intelligent Video Analytics for Human Action Recognition: The State of Knowledge
Marek Kulbacki, Marek Kulbacki, Jakub Segen, Zenon Chaczko, Jerzy W. Rozenblit, Michał Kulbacki, Michał Kulbacki, Ryszard Klempous, Konrad Wojciechowski
Abstract
The paper presents a comprehensive overview of intelligent video analytics and human action recognition methods. The article provides an overview of the current state of knowledge in the field of human activity recognition, including various techniques such as pose-based, tracking-based, spatio-temporal, and deep learning-based approaches, including visual transformers. We also discuss the challenges and limitations of these techniques and the potential of modern edge AI architectures to enable real-time human action recognition in resource-constrained environments.
Topics & Concepts
Computer scienceAction recognitionAnalyticsActivity recognitionArtificial intelligenceField (mathematics)Action (physics)TransformerVisual analyticsHuman–computer interactionMachine learningData scienceVisualizationEngineeringPure mathematicsPhysicsClass (philosophy)MathematicsElectrical engineeringQuantum mechanicsVoltageHuman Pose and Action RecognitionVideo Surveillance and Tracking MethodsAnomaly Detection Techniques and Applications