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In this paper, we propose a hybrid swarm intelligence based approach to tackle the problem of abnormal event detection in crowded environments in ...
Dec 1, 2019 · In this paper, we propose a hybrid swarm intelligence based approach to tackle the problem of abnormal event detection in crowded environments ...
In this paper, we propose a hybrid swarm intelligence based approach to tackle the problem of abnormal event detection in crowded environments in ...
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This paper focuses on detecting and localizing anomalous events in videos of crowded scenes, i.e., divergences from a dominant pattern, and achieves ...
Abstract A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized ...
Reddy et al [8] presented a reliable and effective anomaly detection method, which has the capability of handling crowded scenes where conventional tracking- ...
A hybrid deep network based approach for crowd anomaly detection ; Journal: Multimedia Tools and Applications, 2021, № 16, p. 24053-24067 ; Publisher: Springer ...
Reliability of normal and abnormal samples is generally different in practice. A machine learning and swarm intelligence based approaches for anomaly detection ...
In this paper a novel approach is proposed to identify abnormal occurrences in crowded situations using deep learning. In this approach, Adaptive GoogleNet ...
Feb 28, 2024 · “A Hybrid Swarm Intelligence Based Approach for Abnormal Event Detection in Crowded Environments”. Pattern Recognition Letters, 128: 220-225.