A Specified Saliency Detection for Human Detection
Ling Zheng, Shuhan Chen, Xuelong Hu, Lifeng Zhang · 2016
Saliency detection algorithm plays an important role in computer vision tasks, such as object recognition, visual tracking, image compression, image segmentation and so on. Fortunately, it is also a useful technique for monitoring the status of aged automatically in a short time span. Saliency detection can detect the aged shapes directly and distinguish the giant pets easily. It can prevent the aged “lonely death”, furthermore it is a private way for detecting which results are gray saliency maps that not contain any information of the aged except body shape. To addressed it, we present a simple and efficient bottom-up saliency detection model. In specially, we first propose a discriminative histogram feature metric by combing multiple color space and gradient magnitude channel to handle complex images. Then, we use this metric to compute background based coarse saliency map by introducing distribution as prior to remove foreground noises in the image boundaries. Finally, a simple refinement is applied to generate pixel-wise and smooth saliency maps. The experimental result shows the possibility that the proposed method is able to detect the active state of aged.