Author : B David Prakash
Affiliation : IAG Firemark
Country : Singapore
Category : Computer Science & Information Technology
Volume, Issue, Month, Year : 8, 18, February, 2018
Safety is a critical aspect in all swimming pools. This paper describes a near-drowning early prediction technique using novel equations (NEPTUNE). NEPTUNE uses equations or rules that would be able to detect near-drowning using at least 1 but not more than 5 seconds of video sequence with no false positives. The backbone of NEPTUNE encompasses a mix of statistical image processing to merge images for a video sequence followed by K-means clustering to extract segments in the merged image and finally a revisit to statistical image processing to derive variables for every segment. These variables would be used by the equations to identify near-drowning. NEPTUNE has the potential to be integrated into a swimming pool camera system that would send an alarm to the lifeguards for early response so that the likelihood of recovery is high.
Keyword : Near-drowning Detection, Drowning Detection, Statistical Image Processing, K-means Clustering, Swimming Pools
For More Details : https://airccj.org/CSCP/vol8/csit89812.pdf