8 October 2015 Target detection method based on supervised saliency map and efficient subwindow search
Author Affiliations +
Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967512 (2015) https://doi.org/10.1117/12.2199215
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
In order to realize fast target detection under complex image scene, a novel method is proposed based on supervised saliency map and efficient subwindow search. Supervised saliency map generation mainly includes: (1) the original image is segmented by different parameters to obtain multi-segmentation results; (2) regional feature is mapped for salient value by random forest regressor; (3) obtain saliency map by fusing multi-level segmentation results. Efficient subwindow search method is implemented by transforming salient target detection as maximum saliency density, and using branch and bound algorithm to localize the maximum saliency density in global optimum. The experimental results show that the new method can not only detect salient region, but also recognize this region in some extent.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Songtao Liu, Songtao Liu, Ning Jiang, Ning Jiang, Zhenxing Liu, Zhenxing Liu, } "Target detection method based on supervised saliency map and efficient subwindow search", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967512 (8 October 2015); doi: 10.1117/12.2199215; https://doi.org/10.1117/12.2199215
PROCEEDINGS
7 PAGES


SHARE
Back to Top