Saliency Detection Based on Background Suppressing and Foreground Updating

Cui Liqun; Chen jingjing; Qi Bohua; Ye Jin

doi:10.3788/LOP57.021002

[1] Luo P, Tian Y L, Wang X G et al. Switchable deep network for pedestrian detection. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 899-906(2014).

[2] Ren Z X, Gao S H, Chia L T et al. Region-based saliency detection and its application in object recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 24, 769-779(2014).

[3] Jian M W, Dong Y, Ma J. Image retrieval using wavelet-based salient regions[J]. The Imaging Science Journal, 59, 219-231(2011).

[4] Cheng M M, Mitra N J, Huang X L et al. Salientshape: group saliency in image collections[J]. The Visual Computer, 30, 443-453(2014).

[5] Zhang L B, Zhang J. A new adaptive fusion method based on saliency analysis for remote sensing images[J]. Chinese Journal of Lasers, 42, 0114001(2015).

[6] Li J, Liu Y G, Du S L et al. Precise image matching via multi-resolution analysis and least square optimization[J]. Control Theory & Applications, 34, 811-819(2017).

[7] Li G B, Yu Y Z. Visual saliency detection based on multiscale deep CNN features[J]. IEEE Transactions on Image Processing, 25, 5012-5024(2016).

[8] Feng X Y, Mei W, Hu D S. Aerial target detection based on improved Faster R-CNN[J]. Acta Optica Sinica, 38, 0615004(2018).

[9] Ji C, Huang X B, Cao W et al. Salient region detection of images based on deep learning[J]. Laser & Optoelectronics Progress, 56, 091007(2019).

[10] Wei Y C, Wen F, Zhu W J et al. Geodesic saliency using background priors[M]. ∥Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012. Lecture notes in computer science. Berlin, Heidelberg: Springer, 7574, 29-42(2012).

[11] Li J, Levine M D, An X J et al. Visual saliency based on scale-space analysis in the frequency domain[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 996-1010(2013).

[12] Yang C, Zhang L H, Lu H C et al. Saliency detection via graph-based manifold ranking. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA. New York: IEEE, 3166-3173(2013).

[13] Zhang Z Y, Zhao K K. Low-rank matrix approximation with manifold regularization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1717-1729(2013).

[14] Li X H, Lu H C, Zhang L H et al. Saliency detection via dense and sparse reconstruction. [C]∥2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, Australia. New York: IEEE, 2976-2983(2013).

[15] Zhu W J, Liang S, Wei Y C et al. Saliency optimization from robust background detection. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 2814-2821(2014).

[16] Wang J P, Lu H C, Li X H et al. Saliency detection via background and foreground seed selection[J]. Neurocomputing, 152, 359-368(2015).

[17] Wang Z L, Xiang D, Hou S H et al. Background-driven salient object detection[J]. IEEE Transactions on Multimedia, 19, 750-762(2017).

[18] Jin Y K, Yu F Q. Saliency detection based on background continuity priori knowledge[J]. Laser & Optoelectronics Progress, 56, 121006(2019).

[19] Wolfe J M, Horowitz T S. What attributes guide the deployment of visual attention and how do they do it?[J]. Nature Reviews Neuroscience, 5, 495-501(2004).

[20] Qin Y, Lu H C, Xu Y Q et al. Saliency detection via cellular automata. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 110-119(2015).

[21] Lu M, Zhu M, Gao Y et al. Moving target detection based on dynamic background of cellular automaton[J]. Optics and Precision Engineering, 25, 1934-1940(2017).

[22] Liu M Y, Shi J. A cellular automata traffic flow model combined with a BP neural network based microscopic lane changing decision model[J]. Journal of Intelligent Transportation Systems, 23, 309-318(2019).

[23] Zhou L, Fu K R, Li Y J et al. Bayesian salient object detection based on saliency driven clustering[J]. Signal Processing: Image Communication, 29, 434-447(2014).

[24] Wang S T, Zhou Z, Qu H B et al. RGB-D saliency detection under Bayesian framework. [C]∥2016 23rd International Conference on Pattern Recognition (ICPR), December 4-8, 2016, Cancun, Mexico. New York: IEEE, 1881-1886(2016).

[25] Zhao H W, He J S. Saliency detection method fused depth information based on Bayesian framework[J]. Opto-Electronic Engineering, 45, 13-20(2018).