TY - GEN
T1 - Continuous human action recognition in ambient assisted living scenarios
AU - Andre Chaaraoui, Alexandros
AU - Florez-Revuelta, Francisco
N1 - Organising Body: MONAMI
PY - 2014/9
Y1 - 2014/9
N2 - Ambient assisted living technologies and services make it possible to help elderly and impaired people and increase their personal autonomy. Specifically, vision-based approaches enable the recognition of human behaviour, which in turn allows to build valuable services upon. However, a main constraint is that these have to be able to work online and in real time. In this work, a human action recognition method based on a bag-of-key-poses model and sequence alignment is extended to support continuous human action recognition. The detection of action zones is proposed to locate the most discriminative segments of an action. For the recognition, a method based on a sliding and growing window approach is presented. Furthermore, an evaluation scheme particularly designed for ambient assisted living scenarios is introduced. Experimental results on two publicly available datasets are provided. These show that the proposed action zones lead to a significant improvement and allow real-time processing.
AB - Ambient assisted living technologies and services make it possible to help elderly and impaired people and increase their personal autonomy. Specifically, vision-based approaches enable the recognition of human behaviour, which in turn allows to build valuable services upon. However, a main constraint is that these have to be able to work online and in real time. In this work, a human action recognition method based on a bag-of-key-poses model and sequence alignment is extended to support continuous human action recognition. The detection of action zones is proposed to locate the most discriminative segments of an action. For the recognition, a method based on a sliding and growing window approach is presented. Furthermore, an evaluation scheme particularly designed for ambient assisted living scenarios is introduced. Experimental results on two publicly available datasets are provided. These show that the proposed action zones lead to a significant improvement and allow real-time processing.
KW - Architecture and the built environment
KW - action zones
KW - ambient assisted living
KW - continuous recognition
KW - human action recognition
KW - real time
U2 - 10.1007/978-3-319-16292-8_25
DO - 10.1007/978-3-319-16292-8_25
M3 - Conference contribution
SN - 9783319162911
T3 - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
SP - 344
EP - 357
BT - Mobile Networks and Management 6th International Conference
PB - Springer Cham
CY - Cham, Switzerland
T2 - MONAMI 2014 International Conference on Mobile Networks and Management
Y2 - 22 September 2014 through 26 September 2014
ER -