Abnormal events detection using spatio-temporal saliency descriptor and fuzzy representation analysis
Abstract In recent years, the research on abnormal events detection is a significant work in surveillance video. Many researchers have been attracted by this work for the past two decades. As a result, several abnormal event detection approaches have been developed. Though several approaches have be...
Saved in:
| Main Authors: | R. Tino Merlin, R. Karthick, A. Aalan Babu, G. Vennira Selvi, D. Usha, R. Nithya |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-81387-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Pure First Order Representation for Undamped Second Order Descriptor Systems
by: A. Aasaraai
Published: (2011-12-01) -
Learning Distinctive Feature Representation for Descriptors on Multimodal Images by Incorporating Multiple Negative Samples
by: Bohan Li, et al.
Published: (2025-01-01) -
TOSD: A Hierarchical Object-Centric Descriptor Integrating Shape, Color, and Topology
by: Jun-Hyeon Choi, et al.
Published: (2025-07-01) -
Fast Computation of RFD-Like Descriptors in Four Orientations
by: Anton V. Trusov, et al.
Published: (2023-01-01) -
Fast and accurate RFD-like descriptor approximation for SIMD architectures
by: Artem Sher, et al.
Published: (2025-07-01)