A Combined Model of Outline Feature Map and CNN for Detection of People at the Beach

Gwiseong Moon, Yoon Kim

http://doi.org/10.5626/JOK.2019.46.1.31

As water safety accidents occur every year, many intelligent video surveillance systems are being developed to prevent water safety accidents. In this paper, we propose InsightCNN to accurately detect moving objects in complex images, such as beaches, in intelligent video surveillance systems. First, a basic model was constructed using 1x1 Convolution of Fully Convolutional Network and Residual Block of ResNet. We added an outline feature map that shows a key feature of the image, to the initial layer of the basic model. Results of the experiment demonstrate superiority of the idea of InsightCNN.