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Salient Object Detection via Recursive Sparse Representation

Yongjun Zhang, Xiang Wang, Xunwei Xie, Yansheng Li
2018 Remote Sensing  
Object-level saliency detection is an attractive research field which is useful for many content-based computer vision and remote-sensing tasks.  ...  aerial vehicle remote-sensing images, which confirmed that the proposed method was more effective than current methods and could achieve more favorable performance in the detection of multiple objects  ...  for multiple object detection.  ... 
doi:10.3390/rs10040652 fatcat:bwvyzrlb35bbfko4j5aiv57tfe

Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images

Jianming Hu, Xiyang Zhi, Wei Zhang, Longfei Ren, Lorenzo Bruzzone
2020 Remote Sensing  
Automatic ship detection in complicated maritime background is a challenging task in the field of optical remote sensing image interpretation and analysis.  ...  Firstly, we present a reliable background prior extraction method adaptive for the random locations of targets by computing boundary probability and then generate a saliency map based on the background  ...  Acknowledgments: The authors would like to thank the Kaggle competition organizers for providing the Airbus dataset and Antonio-Javier Gallego from the University of Alicante for providing the MASATI dataset  ... 
doi:10.3390/rs12203370 fatcat:xivcnyxtczc4ra62kj3zn3mlce

Salient Object Detection via Multiple Random Walks

2016 KSII Transactions on Internet and Information Systems  
In last step, the seeds of foreground and background are treated as two different agents in multiple random walkers to complete the process of salient object detection.  ...  First, an initial segmentation is performed to partition an input image into homogeneous regions (i.e., superpixels) for saliency computation.  ...  However, for the location of salient object is unknown before detection, it is hard to choose the prior of foreground.  ... 
doi:10.3837/tiis.2016.04.014 fatcat:tqyhbzcwgjf2ncqrbuyrefetia

A Spectrum-Based Saliency Detection Algorithm for Millimeter-Wave InSAR Imaging with Sparse Sensing

Yilong ZHANG, Yuehua LI, Safieddin SAFAVI-NAEINI
2017 IEICE transactions on information and systems  
of objects, Gibbs ringing, which makes a general purpose saliency detection system for InSAR necessary.  ...  This letter proposes a spectrum-based saliency detection algorithm to extract the salient regions from unknown backgrounds cooperating with sparse sensing InSAR imaging procedure.  ...  Acknowledgements The authors would like to thank the anonymous reviewer and editors for their helpful comments and suggestions.  ... 
doi:10.1587/transinf.2016edl8119 fatcat:fldjt7pi6bdttiveb4ehcvhcg4

Video Foreground Detection Algorithm Based on Fast Principal Component Pursuit and Motion Saliency

Rui Chen, Ying Tong, Jie Yang, Minghu Wu
2019 Computational Intelligence and Neuroscience  
method, this paper proposes a two-stage foreground detection framework based on motion saliency for video sequence.  ...  Aiming at the shortcoming of being unsuitable for dynamic background and high computational complexity of the existing RPCA- (robust principal component analysis-) based block-sparse moving object detection  ...  the moving objects called "foreground" from the static information called "foreground" in video sequences. e effectiveness of moving object detection methods is very important for the postprocessing of  ... 
doi:10.1155/2019/4769185 fatcat:oe4zpxcx4zd2lmuqyrktqyaabi

Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images [article]

Zhou Huang, Tian-Zhu Xiang, Huai-Xin Chen, Hang Dai
2022 arXiv   pre-print
After that, we present a novel scribble-based boundary-aware network (SBA-Net) for remote sensing salient object detection.  ...  To this end, in this paper, we propose a novel weakly-supervised salient object detection framework to predict the saliency of remote sensing images from sparse scribble annotations.  ...  Salient Object Detection for RSI Early studies for RSI saliency detection focused on handcrafted features. Zhang et al.  ... 
arXiv:2202.03501v1 fatcat:e6goup4pdbcjfag56nyqw4y5v4

Foreground Object Detection and Separation Based on Region Contrast

2017 Iraqi Journal of Science  
Foreground objects detection is very important for several approaches like object recognition, surveillance, image annotation, and image retrieval, etc.  ...  In this work, a proposed method has been presented for detection and separation foreground object from image or video in both of moving and stable targets.  ...  An approach for detect and segment (separate) foreground object has been proposed depending on region contrast.  ... 
doi:10.24996/ijs.2017.58.4a.18 fatcat:fnnaesj2ajc7zfqt352xlbzisu

A simple and efficient saliency extraction method based on multi-scale horizon-directional filter for infrared dim small target detection

Renbo Xia, Jinbin Zhao, Bin Hui, Zheng Chang, Guangchao Zhou, Jonathan Roberts, Jie Ma
2011 MIPPR 2011: Pattern Recognition and Computer Vision  
This paper presents a simple and computationally efficient saliency extraction method for detecting dim small target from single frame in heterogeneous background.  ...  Then the foreground maps are fused into the total saliency map using a simple scheme.  ...  The most commonly used approach for foreground detection is to check whether the input pixel is significantly different from the corresponding background estimate: Saliency map We will apply the foreground  ... 
doi:10.1117/12.902911 fatcat:jieiwnu72fav7oucyqr2twp75m

Salient object cutout using Google images

Hongyuan Zhu, Jianfei Cai, Jianmin Zheng, Jianxin Wu, Nadia Thalmann
2013 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)  
Saliency detection techniques are able to provide some rough information about object-of-interest since they highlight high-contrast or high attention regions or pixels.  ...  However, the generated saliency map is often noisy and directly applying it for segmentation often leads to erroneous results.  ...  and the calculation of the Object Frequency and Foreground Likelihood values are explained in the following subsections. 1) Object Frequency Estimation: An 'Object Frequency' value is computed for each  ... 
doi:10.1109/iscas.2013.6571994 dblp:conf/iscas/ZhuCZWM13 fatcat:jzmrtdtgvfdb7oljk7gc5gwh7m

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection [article]

Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang, Guanqun Ding, Yuming Fang, Toru Kouyama, Ryosuke Nakamura
2018 arXiv   pre-print
However, these models on hyperspectral salient object detection were tested with a very few number of data selected from various online public dataset, which are not specifically created for object detection  ...  Finally, we did performance evaluation using Area Under Curve (AUC) metric on some existing hyperspectral saliency detection models in literature.  ...  as remote sensing [5] - [7] , scene/object analysis or object detection [3] - [9] , spectral estimation [9] - [12] , etc.  ... 
arXiv:1806.11314v2 fatcat:aapwj7b3xnbbjl652fbiodl2oa

Aircraft detection in remote sensing images based on saliency and convolution neural network

Guoxiong Hu, Zhong Yang, Jiaming Han, Li Huang, Jun Gong, Naixue Xiong
2018 EURASIP Journal on Wireless Communications and Networking  
Object detection automatic in remote sensing images has always been a hot topic.  ...  Saliency uses the human visual attention mechanism to achieve the bottom-up object detection.  ...  Acknowledgements Thanks are due to Xingxing Huang and Lingfeng Hu for the assistance with the experiments.  ... 
doi:10.1186/s13638-018-1022-8 fatcat:4wvhp55zufgqtcej6rl3h3big4

Image Co-Segmentation and Efficiency Saliency Detection

K. Prasanth
2018 International Journal for Research in Applied Science and Engineering Technology  
A region-based likelihood estimation procedure is first performed to provide the prior knowledge for our higher order energy function.Further extended the work for image saliency detection which is used  ...  A novel interactive image cosegmentation algorithm using likelihood estimation and higher order energy optimization is proposed for extracting common foreground objects from a group of related images.  ...  In this sense, interactivemethods are better off because they combine user interactionsthat can easily locate the object.  ... 
doi:10.22214/ijraset.2018.4109 fatcat:iyljvan5pvc6jnvjy3fwn63tlm

Research on Salient Object Detection using Deep Learning and Segmentation Methods

2019 International journal of recent technology and engineering  
It not only focuses on the methods to detect saliency objects, but also reviews the works related to spatio temporal video attention detection technique in video sequences.  ...  Detecting and segmenting salient objects in natural scenes, often referred to as salient object detection has attracted a lot of interest in computer vision and recently various heuristic computational  ...  Discusses about various research methodologies such as background and foreground methods for salient object detection. 3.  ... 
doi:10.35940/ijrte.b1046.0982s1119 fatcat:6ofq53vb7zhx7boq4ndpraphs4

Review of Visual Saliency Detection with Comprehensive Information [article]

Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, and Qingming Huang
2018 arXiv   pre-print
Co-saliency detection model introduces the inter-image correspondence constraint to discover the common salient object in an image group.  ...  RGBD saliency detection, co-saliency detection, or video saliency detection.  ...  for co-saliency detection, and temporal constraint for video saliency detection.  ... 
arXiv:1803.03391v2 fatcat:htcmhlo32jhczehvvq6nmgzwam

Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery

Yong Mei, Hao Chen, Shuting Yang
2021 Algorithms  
Then, the boundary prior saliency detection method based on the improved manifold ranking algorithm was proposed for the target area of buildings with low contrast with the background in remote sensing  ...  First, a building detection method based on rectangular approximation and region growth was proposed, and a saliency detection model based on the foreground compactness and local contrast of manifold ranking  ...  If N is too small, different objects will be mapped to the same super-pixel, which will lead to a decrease in the accuracy of saliency object detection.  ... 
doi:10.3390/a14100300 doaj:27eaba03be4d4bb7a9ce134595705346 fatcat:siievpwnvnbnfmzq34qz7f4pji
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