Abstract
A mechanism for extracting movement patterns from video data with which to drive Multi Agent Based Simulations (MABS) is described. Two types of movement pattern are considered: absolute and relative. The proposed mechanism is fully described in the context of a rodent behaviour MABS. To evaluate the resulting MABS a process is adopted whereby the simulation is “videoed” and the movement pattern generation process repeated (thus completing the cycle). The nature of the simulated movement patterns is then compared with the video data movement patterns. The advantage of relative movement patterns over absolute movement patterns is that they are more generic and this is illustrated in the paper using a case study.
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Notes
- 1.
This is a recognised task for studying rodent learning where a rodent is required to find a submerged platform.
- 2.
The situation where we have an incomplete set of movement patterns is a subject for future work, currently we extract large numbers of movement patterns so as to avoid this situation.
- 3.
Note that the original area lebelling, \(\{L,M,R\}\), had to be reinterpreted with respect to this alternative scenario.
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Tufail, M., Coenen, F., Hurst, J., Mu, T. (2015). Multi Agent Based Simulation Using Movement Patterns Mined from Video Data. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXXII. SGAI 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-25032-8_21
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