@inproceedings{71193012fcaa4bcd8ff7e227b16c1da5,
title = "Propagation based saliency detection for infrared pedestrian images",
abstract = "Saliency detection is popular in image processing, but it is still a challenging problem for infrared pedestrian images. In this paper, an effective saliency detection method for infrared pedestrian images is proposed. Taking into consideration the characteristics of pedestrians including luminance and shape, the MSER-based local stableness (MLS) is firstly introduced. Then vertical edge-weighted contrast (VEC) is calculated. Finally, an intra-scale and inter-scale neighborhood based saliency propagation method is constructed to optimize and integrate the two features. Extensive experiments demonstrate the effectiveness of the proposed saliency method for infrared pedestrian images.",
keywords = "Infrared images, Pedestrian, Propagation, Saliency",
author = "Yu Zheng and Fugen Zhou and Lu Li and Xiangzhi Bai",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th IEEE International Conference on Image Processing, ICIP 2017 ; Conference date: 17-09-2017 Through 20-09-2017",
year = "2018",
month = feb,
day = "22",
doi = "10.1109/ICIP.2017.8296537",
language = "英语",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1527--1531",
booktitle = "2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings",
address = "美国",
}