Efficient H.264 video coding with a working memory of objects
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Integrating RFID on event-based hemispheric imaging for internet of things assistive applications
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Multimodal situational awareness for eldercare
ICOST'10 Proceedings of the Aging friendly technology for health and independence, and 8th international conference on Smart homes and health telematics
Technology and Health Care
Multimedia Tools and Applications
Intelligent trainee behavior assessment system for medical training employing video analysis
Pattern Recognition Letters
Detection of lounging people with a mobile robot companion
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living
Expert Systems with Applications: An International Journal
Evaluation of an inexpensive depth camera for in-home gait assessment
Journal of Ambient Intelligence and Smart Environments
Evaluation of an inexpensive depth camera for in-home gait assessment
Journal of Ambient Intelligence and Smart Environments
Near real-time human silhouette and movement detection in indoor environments using fixed cameras
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Fisheye camera modeling for human segmentation refinement in indoor videos
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
A novel background subtraction method based on color invariants
Computer Vision and Image Understanding
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In this work, we study how continuous video monitoring and intelligent video processing can be used in eldercare to assist the independent living of elders and to improve the efficiency of eldercare practice. More specifically, we develop an automated activity analysis and summarization for eldercare video monitoring. At the object level, we construct an advanced silhouette extraction, human detection and tracking algorithm for indoor environments. At the feature level, we develop an adaptive learning method to estimate the physical location and moving speed of a person from a single camera view without calibration. At the action level, we explore hierarchical decision tree and dimension reduction methods for human action recognition. We extract important ADL (activities of daily living) statistics for automated functional assessment. To test and evaluate the proposed algorithms and methods, we deploy the camera system in a real living environment for about a month and have collected more than 200 hours (in excess of 600 G bytes) of activity monitoring videos. Our extensive tests over these massive video datasets demonstrate that the proposed automated activity analysis system is very efficient.