An automatic drowning detection surveillance system for challenging outdoor pool environments
An automatic drowning detection surveillance system for challenging outdoor pool environments
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DOI：
10.1109/iccv.2003.1238393
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发表时间：
2003-10
期刊：
影响因子：
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通讯作者：
H. Eng;K. Toh;A. H. Kam;Junxian Wang;W. Yau
中科院分区：
文献类型：
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作者：
H. Eng;K. Toh;A. H. Kam;Junxian Wang;W. Yau
自动理解现场发生的事件是视觉监控系统的最终目标。我们调查了在恶劣条件下运行的自动化监控系统所面临的挑战，并通过一个系统来展示开发的算法，该系统可以检测高度动态的水生环境中的水危机。一个有效的分割算法的基础上强大的基于块的背景建模和阈值与滞后方法，使游泳者能够可靠地检测反射，涟漪，飞溅和快速的照明变化。部分遮挡的解决使用马尔可夫随机场框架，提高了系统的跟踪能力。根据水危机检测的专业知识，确定了水危机的视觉指标，并在此基础上定义了一组游泳者描述符。通过一种新的函数链接网络的基础上无缝融合提取的游泳者描述符，该系统取得了良好的效果，水危机检测。所开发的算法已被纳入到一个活的系统，具有强大的性能，为不同的恶劣环境所面临的室外游泳池。
Automatically understanding events happening at a site is the ultimate goal of visual surveillance system. We investigate the challenges faced by automated surveillance systems operating in hostile conditions and demonstrate the developed algorithms via a system that detects water crises within highly dynamic aquatic environments. An efficient segmentation algorithm based on robust block-based background modelling and thresholding-with-hysteresis methodology enables swimmers to be reliably detected amid reflections, ripples, splashes and rapid lighting changes. Partial occlusions are resolved using a Markov Random Field framework that enhances the tracking capability of the system. Visual indicators of water crises are identified based on professional knowledge of water crises detection, based on which a set of swimmer descriptors has been defined. Through seamlessly fusing the extracted swimmer descriptors based on a novel functional link network, the system achieves promising results for water crises detection. The developed algorithms have been incorporated into a live system with robust performance for different hostile environments faced by an outdoor swimming pool.