The nature of statistical learning theory
The nature of statistical learning theory
Activity Summarisation and Fall Detection in a Supportive Home Environment
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Smart home care network using sensor fusion and distributed vision-based reasoning
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Detecting social interactions of the elderly in a nursing home environment
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Automatic administration of the get up and go test
Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
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Vision-based homecare system receives increasing research interest owing to its efficiency, portability and low-cost characters. This paper presents a vision-based semi-supervised homecare system to automatically monitor the exceptional behaviors of self-helpless persons in home environment. Firstly, our proposed framework tracks the behavior of surveilled individual using dynamic conditional random field tracker fusion, based on which we extract motion descriptor by Fourier curve fitting to model behavior routines for exception detection. Secondly, we propose a Spatial Field constraint strategy to assist SVM-based exception action decision with a Bayesian inference model. Finally, a novel semi-supervised learning mechanism is also presented to overcome the exhaustive labeling behavior in previous works. Experiments over home environment video dataset with five normal and two exceptional behavior categories shows the advantage of our proposed system comparing with previous works.