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Salient Object Detection Techniques in Computer Vision—A Survey
2020
Entropy
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A large number of salient object detection (SOD) methods have been devised to effectively mimic the capability of the human visual system to detect the salient regions in images. ...
Relevant saliency modeling trends with key issues, core techniques, and the scope for future research work have been discussed in the context of difficulties often faced in salient object detection. ...
Conclusions In this work, a survey on salient object detection (SOD) from images is conducted. ...
doi:10.3390/e22101174
pmid:33286942
pmcid:PMC7597345
fatcat:3p5d2nal4vhxbi2via3g7oicga
Salient Object Detection: A Survey
[article]
2018
arXiv
pre-print
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Detecting and segmenting salient objects in natural scenes, often referred to as salient object detection, has attracted a lot of interest in computer vision. ...
Covering 228 publications, we survey i) roots, key concepts, and tasks, ii) core techniques and main modeling trends, and iii) datasets and evaluation metrics in salient object detection. ...
"Salient object detection" or "salient object segmentation" is commonly interpreted in computer vision as a process that includes two stages: 1) detecting the most salient object and 2) segmenting the ...
arXiv:1411.5878v5
fatcat:aw7pqd554zdfblokxy2zgp35z4
Salient object detection: A survey
2019
Computational Visual Media
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Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. ...
Covering 228 publications, we survey i) roots, key concepts, and tasks, ii) core techniques and main modeling trends, and iii) datasets and evaluation metrics for salient object detection. ...
Salient object detection or salient object segmentation is commonly interpreted in computer vision as a process that includes two stages: 1) detecting the most salient object and 2) segmenting the accurate ...
doi:10.1007/s41095-019-0149-9
fatcat:rwh3mzauinfj7na5ewo6wfp26e
Dance Gesture Recognition: A Survey
2015
International Journal of Computer Applications
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The motive behind this survey is to present a comprehensive survey on automated dance gesture recognition with emphasis on static hand gesture recognition. ...
It is a multi-disciplinary research area. The application areas of gesture recognition have been spreading very rapidly in our real-life activities including dance gesture recognition. ...
They use hybrid saliency technique in image to highlight the object from background and to find out the salient features of double hand mudra image. ...
doi:10.5120/21696-4803
fatcat:bvoklxyfr5f4jc2m3b5jgxgqna
A Survey on Visual Saliency Detection and Computational Methods
2017
International Journal of Engineering and Technology
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In computer vision saliency detection comprises wide range of methods to detect salient object present in the image. These methods focus how important object can be detect from the image. ...
In computer vision saliency detection and salient object segmentation are the process through which most salient object can be detected and boundary of salient object can accurately defined [2] . ...
APPLICATIONS OF SALIENT OBJECT DETECTION Salient object detection is a technology which detects most interesting or important objects from a digital image or video. ...
doi:10.21817/ijet/2017/v9i4/170904406
fatcat:23qqpjjapbde7beaj7fm2myfrm
A survey of image retargeting techniques
2010
Applications of Digital Image Processing XXXIII
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A variety of displays are used to view them, ranging from high-resolution computer monitors to low-resolution mobile devices, and images often have to undergo changes in size and aspect ratio to adapt ...
The techniques typically start by computing an importance map which represents the relevance of every pixel, and then apply an operator that resizes the image while taking into account the importance map ...
The detection of interesting or salient areas in an image is an important part of computer vision research; a considerable body of work in graphics focuses on creating more compelling pictures; and the ...
doi:10.1117/12.862419
fatcat:v3lpnzubnjb4rcwbuw6yyxcdja
Visual simultaneous localization and mapping: a survey
2012
Artificial Intelligence Review
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The computer vision techniques employed in visual SLAM, such as detection, description and matching of salient features, image recognition and retrieval, among others, are still susceptible of improvement ...
The objective of this article is to provide new researchers in the field of visual SLAM a brief and comprehensible review of the state-of-the-art. ...
SfM has its origins in photogrammetry and computer vision. ...
doi:10.1007/s10462-012-9365-8
fatcat:ghi44bijkzf4xehlxvln5dl67y
A Survey on Content Aware Image Resizing Methods
2020
KSII Transactions on Internet and Information Systems
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This paper presents a survey on various image retargeting methods, comparison of image retargeting results based on performance, and also exposes the main challenges in image retargeting such as content ...
This survey is useful for the researchers interested in content-aware image retargeting. ...
In recent years, salient object detection algorithms play a vital role in image and video retargeting techniques to produce pleasing results. ...
doi:10.3837/tiis.2020.07.015
fatcat:qm2yfnvqzrf5ld6vgt46z2mg3a
A Survey on Moving Object Detection and Tracking Techniques
2016
International Journal Of Engineering And Computer Science
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Here, classification of the tracking methods is done, and a detailed description is provided of representative methods in each group. Research works on object detection and tracking in videos. ...
The use of video is becoming prevalent in many applications such as monitoring of traffic, detection of pedestrians, identification of anomalous behaviour in a parking lot or near an ATM, etc. ...
Background Model : Background subtraction, also known as Foreground Detection, is a technique in the fields of image processing and computer vision wherein an image's foreground is extracted for further ...
doi:10.18535/ijecs/v5i4.42
fatcat:ly4n7nt7lvfpnc5tqcjzshloay
A Survey of Object Co-segmentation
2019
IEEE Access
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It is widely acknowledged that object segmentation is a significant research field for computer vision and a key process for many other visual tasks. ...
INDEX TERMS Computer vision, semantic segmentation, object co-segmentation, joint processing, saliency, model evaluation. ...
Secondly, the reviewers provided a lot of useful comments and suggestions for this paper. We accepted them with humility and the paper has been considerably improved. ...
doi:10.1109/access.2019.2917152
fatcat:qipvlujtnraqfbfnjhk7q4eawq
Learning Evolution: a Survey
2021
Iraqi Journal of Science
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In this paper, the evolution of learning is discussed as a formal survey accomplished with the foundation of machine learning and its evolved version of learning which is deep learning and micro-learning ...
A procedural comparison is achieved to declare the purpose of this survey, also a related discussion integrates the aim of this study. ...
Alina Kloss in 2015 [20] , presented in her work a model for object detection using deep convolution neural network based on eye tracking data technique recorded form 15particepaint. ...
doi:10.24996/ijs.2021.62.12.34
fatcat:gksk4tdww5hqhoegbqwqikg6pa
A Survey on Approaches for Saliency Detection with Visual Attention
2018
MATEC Web of Conferences
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This article provides a survey of saliency detection with visual attention, which exploit visual cues of foreground salient areas, visual attention based on saliency map, and deep learning based saliency ...
Most existing approaches for detecting salient areas in natural scenes are based on the saliency contrast within the local context of image. ...
a difficult task in the field of computer vision. ...
doi:10.1051/matecconf/201823202007
fatcat:o3s4rb7gqzdq7jlemixvykagum
A Survey on Data Association Methods in VSLAM
English
2015
International Journal of Engineering Trends and Technoloy
English
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The computer vision techniques employed in visual SLAM, such as detection, description and matching of salient features, image recognition and retrieval, among others, are still susceptible of improvement ...
The objective of this article is to provide new researchers in the field of visual SLAM a brief and comprehensible review of data association categories in VSLAM. ...
A lot of computer vision techniques are involved in Visual SLAM systems, such as visual features detection and extraction (feature selection), features matching (data association), image transformations ...
doi:10.14445/22315381/ijett-v30p216
fatcat:2nu2mzpebrbplhexue3dnl66fy
RGB-D salient object detection: A survey
2021
Computational Visual Media
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AbstractSalient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various computer vision tasks. ...
In this paper, we provide a comprehensive survey of RGB-D based salient object detection models from various perspectives, and review related benchmark datasets in detail. ...
Acknowledgements This research was supported by a Major Project for a New Generation of AI under Grant No. 2018AAA0100400, National Natural Science Foundation of China (61922046), and Tianjin Natural Science ...
doi:10.1007/s41095-020-0199-z
pmid:33432275
pmcid:PMC7788385
fatcat:foiz2zth4vckjfuhvh524hwdtq
Local Invariant Feature Detectors: A Survey
2007
Foundations and Trends in Computer Graphics and Vision
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In this survey, we give an overview of invariant interest point detectors, how they evolved over time, how they work, and what their respective strengths and weaknesses are. ...
We then provide a more detailed analysis of a selection of methods which had a particularly significant impact on the research field. ...
Saliency The idea of saliency has been used in a number of computer vision algorithms. ...
doi:10.1561/0600000017
fatcat:t5e7h3nhtfgozcn2czsuc52r34
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