AI Article Synopsis
- The paper introduces a new method for detecting falls and analyzing their characteristics, focusing on the fall's position, direction, speed, and post-fall inactivity.
- It uses a technique that processes video frames one by one, employing a method called lateral inhibition in accumulative computation to analyze images.
- The fall detection method works with both color and infrared videos, making it versatile for different visual contexts.
Article Abstract
Fall detection is an emergent problem in pattern recognition. In this paper, a novel approach which enables to identify a type of a fall and reconstruct its characteristics is presented. The features detected include the position previous to a fall, the direction and velocity of a fall, and the postfall inactivity. Video sequences containing a possible fall are analysed image by image using the lateral inhibition in accumulative computation method. With this aim, the region of interest of human figures is examined in each image, and geometrical and kinematic characteristics for the sequence are calculated. The approach is valid in colour and in infrared video.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833320 | PMC |
| http://dx.doi.org/10.1155/2013/935026 | DOI Listing |
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