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Optical Camouflage Effect Objective Evaluation Method Research Under The Condition of Complex Backgrounds

Jianfei Qin, Liyong Qu, Liyan Zhu, Jianghua Hu, Shuwei Song, S.A. Hamouda, M. Mirzaei, Z. Yu
2016 MATEC Web of Conferences  
According to the problem that the intelligence is not high of the soccer robot, using the mechanical theory as a guide, making some mechanical analyses and calculations on the pressure and transmutation  ...  Introduction Objective evaluation of camouflage effect of camouflage technology has important direction, the camouflage effect evaluation models are mainly texture analysis [1, 2] , color histogram method  ...  significant characteristic and the method of camouflage evaluation by the saliency map is feasible.  ... 
doi:10.1051/matecconf/20166106013 fatcat:tiz26hxqjzavpa627bxs2esl64

Fast Self-Adaptive Digital Camouflage Design Method Based on Deep Learning

Houdi Xiao, Zhipeng Qu, Mingyun Lv, Yi Jiang, Chuanzhi Wang, Ruiru Qin
2020 Applied Sciences  
Secondly, a pre-trained deepfillv1 model was used to design the preliminary camouflage texture. Finally, the preliminary camouflage texture was standardized by the k-means algorithm.  ...  Firstly, we trained a YOLOv3 model that could identify four typical military targets with mean average precision (mAP) of 91.55%.  ...  Evaluate the performance of the camouflage image using the salience map. Table 1 . 1 Details of the training and test set.  ... 
doi:10.3390/app10155284 fatcat:uvikxoee2bezlhycc4unzrm454

Urban camouflage assessment through visual search and computational saliency

Alexander Toet, Maarten A. Hogervorst
2012 Optical Engineering: The Journal of SPIE  
Downloaded From: on 12/12/2012 Terms of Use: Fig. 8 Mean search time (s) as a function of the maximum of the FTS saliency value  ...  We performed a human visual search experiment and a computational evaluation study to assess the effectiveness of this multiscale camouflage pattern relative to the performance of 10 other (multiscale,  ...  Then we applied Eq. (1) to compute a saliency map for each target scene, and we computed the maximal saliency value over the target support using the corresponding binary mask.  ... 
doi:10.1117/1.oe.52.4.041103 fatcat:t6ik25vqafcp3pumvbtkekbieq

Guest editorial: selected papers from ICIMCS 2013

Meng Wang, Ke Lu, Gang Hua, Cees Snoek
2014 Multimedia Systems  
In the second paper, "Camouflage Texture Evaluation Using Saliency Map", Xue et al. introduce a histogram-based contrast method to measure saliency, in which the saliency map is computed simply by color  ...  The saliency map is then used in camouflage effect evaluation. In the third part of the special issue, we have two papers focusing on object detection and tracking.  ...  Their professional evaluations and constructive comments are vital for securing the high quality of the special issue.  ... 
doi:10.1007/s00530-014-0428-3 fatcat:vpxj3voqnff4bp6n5nptslc2m4

Anabranch network for camouflaged object segmentation

Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto
2019 Computer Vision and Image Understanding  
Camouflaged objects attempt to conceal their texture into the background and discriminating them from the background is hard even for human beings.  ...  Extensive experiments conducted on the newly built dataset demonstrate the effectiveness of our network using various fully convolutional networks.  ...  Acknowledgment This work is in part granted by University of Dayton SEED Grant (US), and by SOKENDAI Short-Stay Study Abroad Program (Japan).  ... 
doi:10.1016/j.cviu.2019.04.006 fatcat:sl3ggf46sjfdlc6siinwnwfs4y

Performance Evaluation Of Roi Extraction Models From Stationary Images

K.V. Sridhar, Varun Gunnala, K.S.R Krishna Prasad
2010 Zenodo  
The wavelet based approach performs well on natural scene images that contain regions of distinct textures.  ...  The saliency approach performs well on images containing objects of high saturation and brightness.  ...  Finally the summation of these maps gives us the desired saliency map.  ... 
doi:10.5281/zenodo.1081813 fatcat:q3ikt3mswja3rb4oecgscf4nie

Towards Deeper Understanding of Camouflaged Object Detection [article]

Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan
2022 arXiv   pre-print
To detect and segment the whole scope of a camouflaged object, camouflaged object detection (COD) is introduced as a binary segmentation task, with the binary ground truth camouflage map indicating the  ...  As no corresponding datasets exist for either the localization model or the ranking model, we generate localization maps with an eye tracker, which are then processed according to the instance level labels  ...  [44] proposed to select some structural features such as illumination, texture direction and edges and used the weight structural texture similarity to evaluate the effects of camouflage texture.  ... 
arXiv:2205.11333v1 fatcat:ztotpv76wzgdva6vnj4jyje3fi

De-emphasis of distracting image regions using texture power maps

Sara L. Su, Frédo Durand, Maneesh Agrawala
2005 Proceedings of the 2nd symposium on Appied perception in graphics and visualization - APGV '05  
Our method reduces the spatial variation of texture using power maps, high-order features describing local frequency content in an image.  ...  We show how modification of power maps results in powerful image de-emphasis. We validate our results using a user search experiment and eye tracking data.  ...  Acknowledgments We thank Aude Oliva and Ruth Rosenholtz and their students for use of their eyetracker and advice on experimental design.  ... 
doi:10.1145/1080402.1080445 dblp:conf/apgv/SuDA05 fatcat:7rlr6u2dpncvveqh4ieca6ddqu

Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing

Kaihong Huang, Chunshu Li, Jiaqi Zhang, Beilun Wang
2021 Sensors  
The demand for the sensor-based detection of camouflage objects widely exists in biological research, remote sensing, and military applications.  ...  To address this problem, we propose Camouflaged Object Detection with Cascade and Feedback Fusion (CODCEF), a deep learning framework based on an RGB optical sensor that leverages a cascaded structure  ...  TGWV [7] uses a texture-guided weighted voting method that can efficiently detect foreground objects in camouflaged scenes.  ... 
doi:10.3390/s21165455 pmid:34450897 pmcid:PMC8400738 fatcat:hesbrywborbadfami6ixjlnkh4

Simultaneously Localize, Segment and Rank the Camouflaged Objects [article]

Yunqiu Lv and Jing Zhang and Yuchao Dai and Aixuan Li and Bowen Liu and Nick Barnes and Deng-Ping Fan
2021 arXiv   pre-print
And, the ranking model infers the detectability of different camouflaged objects. Moreover, we contribute a large COD testing set to evaluate the generalization ability of COD models.  ...  Camouflaged object detection (COD) aims to segment camouflaged objects hiding in their surroundings.  ...  We would like to thank the anonymous reviewers for their useful feedback.  ... 
arXiv:2103.04011v2 fatcat:p6p2gcznd5g2fahwdod27ze2oa

Military Object Real-Time Detection Technology Combined with Visual Salience and Psychology

Xia Hua, Xinqing Wang, Dong Wang, Jie Huang, Xiaodong Hu
2018 Electronics  
This paper presents a method of military object detection through the combination of human visual salience and visual psychology, so as to achieve rapid and accurate detection of military objects on the  ...  After that, the efficient sub-window search method is used to detect and filter the object in order to determine the location and range of objects.  ...  Figure 8 . 8 The (1) is the result of the saliency map generation in each stage of pre-attention channel; The (2) is the effect of saliency detection using only texture features.  ... 
doi:10.3390/electronics7100216 fatcat:wrlixsxyzngvhmdfg6xfr36p4a

Design and evaluation of (urban) camouflage

Maarten A. Hogervorst, Alexander Toet, Pieter Jacobs, Gerald C. Holst, Keith A. Krapels
2010 Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI  
We used these images in a search experiment with human observers for evaluating camouflage performance of the various patterns.  ...  We applied our method for deriving a camouflage pattern from a set of (characteristic) background images to the imagery. Eleven different patterns were made into prototype camouflage suits.  ...  Images of the two locations used in the saliency experiment, referred to as "shade" (on the left) and "sun" (on the right).  ... 
doi:10.1117/12.850423 fatcat:pgnxz7s5yfgtrnpz5z7p6wtrne

CNN-based temporal detection of motion saliency in videos

Léo Maczyta, Patrick Bouthemy, Olivier Le Meur
2019 Pattern Recognition Letters  
It can also be viewed as a prerequisite before computing motion saliency maps. The proposed approach handles situations with a mobile camera.  ...  The problem addressed in this paper appertains to the domain of motion saliency in videos.  ...  [17] use spatiotemporal deep features and define a spatiotemporal conditional random field to estimate saliency maps.  ... 
doi:10.1016/j.patrec.2019.09.016 fatcat:nebn7k5cnbcndekozyrkkljoca

Deep Saliency Prior for Reducing Visual Distraction [article]

Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein
2021 arXiv   pre-print
We present results on a variety of natural images and conduct a perceptual study to evaluate and validate the changes in viewers' eye-gaze between the original images and our edited results.  ...  We demonstrate several operators, including: a recoloring operator, which learns to apply a color transform that camouflages and blends distractors into their surroundings; a warping operator, which warps  ...  [13] use a neural network that receives an image and a target saliency map, and generates an image satisfying that map. Chen et al.  ... 
arXiv:2109.01980v1 fatcat:6qbgdoth6zgqfcttgk2mtgkuyq

Foreground object detection in highly dynamic scenes using saliency

Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang
2014 2014 IEEE International Conference on Image Processing (ICIP)  
By computing and combing temporal saliency maps of different features, we obtain foreground likelihood maps.  ...  Then, we apply temporal saliency analysis to the pixels of each feature map.  ...  Saliency maps of color and texture features are combined to increase the signal-to-noise ratio.  ... 
doi:10.1109/icip.2014.7025224 dblp:conf/icip/LinKWHH14 fatcat:fxc4tvn5zbgtxnxkdax76jsu2i
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