Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network
Crowd anomaly detection is crucial in enhancing surveillance and crowd management. This
paper proposes an efficient approach that combines spatial and temporal visual descriptors …
paper proposes an efficient approach that combines spatial and temporal visual descriptors …
Categorizing Crowd Emotions based on Cross Division Expressions and Anomalies
K Manojkumar - 2024 - researchsquare.com
The crowd emotion sensing is a critical element in surveillance and management of the
crowd in different environments. With exploding populations, and developing nations, the …
crowd in different environments. With exploding populations, and developing nations, the …
[PDF][PDF] ARTIFICIAL INTELLIGENCE BASED DATA TRACKING METHODS FOR SUPPLY CHAIN PERFORMANCES OPTIMIZATION
VA Matayo, HS Jibrin, MA Isah, AA Aminu - adolescence - researchgate.net
This study explores the integration of artificial intelligence (AI) in data tracking and supply
chain management. It examines the methods, performance, and limitations of these …
chain management. It examines the methods, performance, and limitations of these …
ARTIFICIAL INTELLIGENCE FOR CRIME PREDICTION AND PREVENTION–A LITERATURE REVIEW
P Iacobescu, C Anghel - The Annals of “Dunarea de Jos “University of …, 2023 - gup.ugal.ro
Crime prevention is a key concern in modern society, with significant implications for public
safety and informed law enforcement decision-making. An innovative approach in this …
safety and informed law enforcement decision-making. An innovative approach in this …