The introduction of artificial intelligence (AI) in video surveillance systems has significantly
transformed security practices, allowing for autonomous monitoring and real-time detection …

Crowd behavior recognition plays a critical role in various domains, including public safety,
event management, and urban planning. Understanding crowd dynamics and detecting …

Dependable utilization of computer vision applications, such as smart surveillance, requires
training deep learning networks on datasets that sufficiently represent the classes of interest …

Pose estimation of human activity recognition has been a keen area of interest in
augmented reality experiences, gaming and robotics, animations, behavioral analysis, and …

The field of optimization is an important sub-field of applied mathematics. In the context of
deep learning it is just as important. Any form of training process for a deep learning model …

Deep neural networks are currently applied in multiple domains, especially in the
automotive industry. The main reason for this is related to the more complex challenges …

Abstract Shot Boundary Detection (SBD) is one of the most interesting pre-processing tasks
involving all intelligent video analysis applications. An efficient method for SBD is a very …

News videos play an important rule in shaping our everyday communication. At the same
time, news videos use narrative patterns to keep people entertained. Understanding how …

Shot boundary detection (SBD) is a critical pre-processing task for intelligent video analysis
applications. In this study, we proposed a novel multimodal approach for SBD by utilizing a …

Sažetak Catastrophic occurrences induced by disasters often lead to fatalities, extensive
damage, and societal disruptions. In pursuit of realizing disaster-resilient smart cities, video …