Crowd descriptors and interpretable gathering understanding
Crowd gathering events deeply affect public safety. To enhance city management and avoid
potential risks, many algorithms are designed for crowd analysis and deployed on video …
potential risks, many algorithms are designed for crowd analysis and deployed on video …
Advancing Crowd Management through Innovative Surveillance using YOLOv8 and ByteTrack
JC Antony, CLS Chowdary, E Murali… - … Signal Processing and …, 2024 - ieeexplore.ieee.org
Crowd management is a cumbersome task that requires broad analysis and grasp of various
constraints. The main hurdles include security issues, unexpected crowd dynamics over …
constraints. The main hurdles include security issues, unexpected crowd dynamics over …
MA-GeSAN: Motion-Appearance Stream-Based Generative Self-Annotation Network Guided Self-Supervised Abnormal Event Detection in Videos
SP Chouhan, M Bhattacharya, GK Sharma - 2024 - researchsquare.com
In the recent one-class classification (OCC) approach for detecting abnormal events in
surveillance videos, deep generative models (DGM) are specifically trained to learn regular …
surveillance videos, deep generative models (DGM) are specifically trained to learn regular …