Multiple people activity recognition using MHT over DBN

Authors:
Andrei Tolstikov;Clifton Phua;Jit Biswas;Weimin Huang
Affiliations:
Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore
Venue:
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
Year:
2011

Citing 3
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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.