全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于贝叶斯框架的显著目标检测

Keywords: 显著目标检测,Center-Surround模型,核密度估计

Full-Text   Cite this paper   Add to My Lib

Abstract:

图像和视频显著性检测在计算机视觉领域引起了极大的关注,广泛应用于物体分割、可疑物检测、图像检索等领域,在贝叶斯框架下,将人类视觉注意力理论中Bottom-Up模式被动感知与Top-Down模式主动检测按照时间先后顺序结合在一起,并结合像素的“Center-Surround”模型和核密度估计,提出一种能由粗到精逐步感知和获取视场中视觉显著性目标位置及尺度的实时显著目标检测算法,称其为基于贝叶斯框架的显著目标检测.通过在微软MSRA数据集上进行ROC和Precision-Recall测试,证明该算法取得比目前经典算法更好的效果.

References

[1]  ZHANG Ling-yun, MATTHEW H T, TIM K M, et al. A Bayesian framework for saliency using natural statistics [J]. Journal of Vision, 2012, 14(1): 1-20.
[2]  HARAL J, KOCH C, PERONA P. Graph-based visual saliency [C]//Twenty-First Annual Conference on Neural Information Processing Systems. Washington: Neural Information Processing Systems, 2007: 550-558.
[3]  HOU X D. Saliency detection: a spectral residual approach [C]//IEEE Conference on Computer Vision and Pattern Recognition. Washington: IEEE Computer Society, 2007: 1-8.
[4]  ACHANTA R, ESTRADA F, WILS P, et al. Salient region detection and segmentation [C] //The 6th International Conference on Computer Vision Systems. New York: IEEE Computer Society, 2008: 200-216.
[5]  HOU X D, JONATHAN Harel, CHRISTOF Koch. Image signature: highlighting sparse salient regions [J]. IEEE TPAMI, 2012, 34(1): 194-201.
[6]  ANTA R, ESTRADA F, WILS P, et al. Salient region detection and segmentation [C] //The 6th International Conference on Computer Vision Systems. New York: IEEE Computer Society, 2008: 500-526.
[7]  CHENG Ming-ming, ZHANG Guo-xin, MITRA N J, et al. Global contrast based salient region detection [C] // Computer Vision and Pattern Recognition. San Francisco: IEEE Computer Society, 2011: 409-416.
[8]  LAURENT Itti, CHRISTOF Koch, ERNST Niebur. A model of saliency-based visual attention for rapid scene analysis [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(11): 1254-1259.
[9]  VU C T, CHANDLER D M. Main subject detection via adaptive feature selection [C] //16th IEEE International Conference. Washington: IEEE Computer Society, 2009: 3101-3104.
[10]  MA Y F, ZHANG H J. Contrast-based image attention analysis by using fuzzy growing [C] //The ACM International Conference on Multimedia. Barcelona: IOSR Journals, 2003: 651-658.
[11]  LIU Zhi, XUE Yin-zhu, SHEN Li-quan, et al. Nonparametric saliency detection using kernel density estimation [C] //17th IEEE International Conference. Washington: IEEE Computer Society, 2010: 26-29.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133