Abstract
Multiple people activity recognition system is an essential step in Ambient Assisted Living system development. A possible approach for multiple people is to take an existing system for single person activity recognition and extend it to the case of multiple people. One approach is Multiple Hypothesis Tracking (MHT) which provides capabilities of multiple people tracking and activity recognition based on the Dynamic Bayesian Network Model. The advantage of such systems is that the number of people can vary, while the disadvantage is that the activity recognition configuration cannot be done if only multiple people data is available for training.
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Tolstikov, A., Phua, C., Biswas, J., Huang, W. (2011). Multiple People Activity Recognition Using MHT over DBN. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds) Toward Useful Services for Elderly and People with Disabilities. ICOST 2011. Lecture Notes in Computer Science, vol 6719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21535-3_48
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DOI: https://doi.org/10.1007/978-3-642-21535-3_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21534-6
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