Analysis of Saliency Object Detection Algorithms for Search and Rescue Operations

被引：0

作者：

Gotovac, Sven ^{[1
]}

Papic, Vladan ^{[1
]}

Marusic, Zeljko ^{[2
]}

机构：

[1] Univ Split, Split, Croatia

[2] Univ Mostar, Mostar, Bosnia & Herceg

来源：

2016 24TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM) | 2016年

关键词：

Saliency detection; saliency map; visual attention; UAV; Search and Rescue; CUDA; GPU; MODEL;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The aim of saliency object detection algorithms is to find objects in image or video which draw attention of humans at the first sight. This very popular topic in robotics and computer vision research is useful in various areas and applications like object segmentation, adaptive compression, object recognition, visual surveillance and so on. In this paper, we will explore the possibilities of using these algorithms on the problem of detection of objects for Search and Rescue operations (SAR) in UAV images.

引用

页码：378 / 383

页数：6

共 24 条

[1]

Achanta R., 2008, COMP VIS SYS

[2]

[Anonymous], CUDA C PROGRAMMING G

[3]

[Anonymous], 2007, PROC IEEE C COMPUT V, DOI 10.1109/CVPR.2007.383267

[4]

[Anonymous], 2007, Computer Vision and Pattern Recognition (CVPR), IEEE Conference on

[5]

[Anonymous], 2009, CVPR

[6]

[Anonymous], 2013, CVPR

[7]

Borji A., 2014, T PATTERN ANAL MACHI

[8]

Bruce N, 2005, ADV NEURAL INF PROCE, V18

[9] Global Contrast Based Salient Region Detection [J].

Cheng, Ming-Ming ;

Mitra, Niloy J. ;

Huang, Xiaolei ;

Torr, Philip H. S. ;

Hu, Shi-Min .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015, 37 (03) :569-582

[10] Factoring wavelet transforms into lifting steps [J].

Daubechies, I ;

Sweldens, W .

JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS, 1998, 4 (03) :247-269

← 1 2 3 →