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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun Yin Yan Meng |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA (Jun Yin; Yan Meng) |
| Abstract | Most available methods in computer vision can only detect one behavior at a time in a video sequence. Multi-object behavior recognition is still a very challenge problem. In this paper, we propose a novel model based on reservoir computing ensembles for multi-pattern recognition. In this new model, multiple interactive sub-reservoirs are connected to construct the reservoir model. The sub-reservoirs are competing with each other through inhibitory connections, and the internal states of all the sub-reservoirs are combined to form the output action potentials. Neurobiological studies have shown that cortical neural networks have a distinctive modular and laminar structure, which can provide powerful computational function. Therefore, cortical neural networks are employed to construct each sub-reservoir, whose parameters can be dynamically tuned by a gene regulatory network (GRN). Extensive experimental results on the MSR action dataset II have demonstrated the feasibility and efficiency of the proposed reservoir computing ensembles model on multi-object behavior recognition in video sequences. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1117352 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467314886 |
| ISSN | 21614393 |
| e-ISBN | 9781467314909 |
| e-ISBN | 9781467314893 |
| DOI | 10.1109/IJCNN.2012.6252531 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reservoirs Computational modeling Neurons Biological system modeling Biological neural networks Mathematical model Humans multiple patterns reservoir computing cortical template gene regulatory network reservoir ensembles |
| Content Type | Text |
| Resource Type | Article |
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