Crowd abnormal behavior detection based on motion similar entropy
It is an important research content of graphic processing in the field of intelligent video surveillance to detect abnormal events.An algorithm based on entropy of motion similarity (EMS) to detect abnormal behavior was proposed.Based on the optical flow algorithm,taking the bottom flow block as the...
Saved in:
Main Authors: | Fei LI, Ken CHEN, Meng LI, Chunmei GUO |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2017-05-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017117/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Abnormal network traffic detection approach based on alive entropy
by: Xiang-kun MU, et al.
Published: (2013-09-01) -
Defective Laplacians and paradoxical phenomena in crowd motion modeling
by: Maury, Bertrand
Published: (2023-12-01) -
Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity
by: Lu Li, et al.
Published: (2025-01-01) -
Similarity measure, entropy and distance measure of multiple sets
by: Sanjitha Radhakrishnan, et al.
Published: (2024-07-01) -
Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes
by: J. Gil-González, et al.
Published: (2025-03-01)