Tracking Human Motion in Structured Environments Using a Distributed-Camera System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
VIGOUR: A System for Tracking and Recognition of Multiple People and their Activities
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
A Smart Sensor to Detect the Falls of the Elderly
IEEE Pervasive Computing
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
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In this paper a computer vision system is proposed to detect risk factors of young children's falls in the home environment and to produce actions to remove the factors. The system recognition tasks, clutter detection and children tracking, are defined in accordance with general suggestions which request a caregiver's continuous supervision to prevent young children's falls from the UK Child Accident Prevention Trust (CAPT). The current system uses only one commercial camera without any sensor or marker on the subject for practical purposes. This paper focuses on the system design and clutter detection. The algorithms for moving object and clutter detection have been developed, implemented and tested.