ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification

Author:

Sekh Arif Ahmed,Dogra Debi Prosad,Kar Samarjit,Roy Partha Pratim,Prasad Dilip K.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,Software

Reference37 articles.

1. Unsupervised real-time anomaly detection for streaming data;Ahmad;Neurocomputing,2017

2. Surveillance scene representation and trajectory abnormality detection using aggregation of multiple concepts;Ahmed;Expert Systems with Applications,2018

3. Ahmed, S. A., Dogra, D. P., Kar, S., & Roy, P. P. (2018b). Trajectory-based surveillance analysis: A survey. IEEE Transactions on Circuits and Systems for Video Technology.

4. Social lstm: Human trajectory prediction in crowded spaces;Alahi,2016

5. Dynamic weighted aggregation for normality analysis in intelligent surveillance systems;Albusac;Expert Systems with Applications,2014

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