Human posture tracking and classification through stereo vision and 3D model matching
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Video sequence motion tracking by fuzzification techniques
Applied Soft Computing
Accelerometer-based fall detection using optimized ZigBee data streaming
Microelectronics Journal
Real-time human segmentation in infrared videos
Expert Systems with Applications: An International Journal
Optical flow or image subtraction in human detection from infrared camera on mobile robot
Robotics and Autonomous Systems
Detection of falls among the elderly by a floor sensor using the electric near field
IEEE Transactions on Information Technology in Biomedicine
Introducing a statistical behavior model into camera-based fall detection
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Skeleton simplification by key points identification
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Human activity monitoring by local and global finite state machines
Expert Systems with Applications: An International Journal
IEEE Transactions on Information Technology in Biomedicine
A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach
IEEE Transactions on Circuits and Systems for Video Technology
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Vision-based fall detection is a challenging problem in pattern recognition. This paper introduces an approach to detect a fall as well as its type in infrared video sequences. The regions of interest of the segmented humans are examined image by image though calculating geometrical and kinematic features. The human fall pattern recognition system identifies true and false falls. The fall indicators used as well as their fuzzy model are explained in detail. The fuzzy model has been tested for a wide number of static and dynamic falls.