Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones (English)
- New search for: Lezki, Hazal
- New search for: Ozturk, I. Ahu
- New search for: Akpinar, M. Akif
- New search for: Yucel, M. Kerim
- New search for: Logoglu, K. Berker
- New search for: Erdem, Aykut
- New search for: Erdem, Erkut
- New search for: Leal-Taixé, Laura
- New search for: Roth, Stefan
- Further information on Roth, Stefan:
- https://orcid.org/https://orcid.org/0000-0001-9002-9832
- New search for: Lezki, Hazal
- New search for: Ozturk, I. Ahu
- New search for: Akpinar, M. Akif
- New search for: Yucel, M. Kerim
- New search for: Logoglu, K. Berker
- New search for: Erdem, Aykut
- New search for: Erdem, Erkut
In:
Computer Vision – ECCV 2018 Workshops
: Munich, Germany, September 8-14, 2018, Proceedings, Part II
;
Chapter: 8
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100-116
;
2019
- Article/Chapter (Book) / Electronic Resource
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Title:Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones
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Additional title:Lect.Notes Computer
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Contributors:Leal-Taixé, Laura ( editor ) / Roth, Stefan ( editor ) / Lezki, Hazal ( author ) / Ozturk, I. Ahu ( author ) / Akpinar, M. Akif ( author ) / Yucel, M. Kerim ( author ) / Logoglu, K. Berker ( author ) / Erdem, Aykut ( author ) / Erdem, Erkut ( author )
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Conference:European Conference on Computer Vision ; 2018 ; Munich, Germany
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Published in:Computer Vision – ECCV 2018 Workshops : Munich, Germany, September 8-14, 2018, Proceedings, Part II ; Chapter: 8 ; 100-116Lecture Notes in Computer Science ; 11130 ; 100-116
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2019-01-29
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Size:17 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Real-Time Embedded Computer Vision on UAVsVan Beeck, Kristof / Tuytelaars, Tinne / Scarramuza, Davide / Goedemé, Toon et al. | 2019
- 2
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Teaching UAVs to Race: End-to-End Regression of Agile Controls in SimulationMüller, Matthias / Casser, Vincent / Smith, Neil / Michels, Dominik L. / Ghanem, Bernard et al. | 2019
- 3
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Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep LearningKumar, Saurabh / Chaudhuri, Subhasis / Banerjee, Biplab / Ali, Feroz et al. | 2019
- 4
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SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic DataMarcu, Alina / Costea, Dragoş / Licăreţ, Vlad / Pîrvu, Mihai / Sluşanschi, Emil / Leordeanu, Marius et al. | 2019
- 5
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Aerial GANeration: Towards Realistic Data Augmentation Using Conditional GANsMilz, Stefan / Rüdiger, Tobias / Süss, Sebastian et al. | 2019
- 6
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Metrics for Real-Time Mono-VSLAM Evaluation Including IMU Induced Drift with Application to UAV FlightHardt-Stremayr, Alexander / Schörghuber, Matthias / Weiss, Stephan / Humenberger, Martin et al. | 2019
- 7
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ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV ImageryAzimi, Seyed Majid et al. | 2019
- 8
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Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on DronesLezki, Hazal / Ozturk, I. Ahu / Akpinar, M. Akif / Yucel, M. Kerim / Logoglu, K. Berker / Erdem, Aykut / Erdem, Erkut et al. | 2019
- 9
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UAV-GESTURE: A Dataset for UAV Control and Gesture RecognitionPerera, Asanka G. / Law, Yee Wei / Chahl, Javaan et al. | 2019
- 10
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ChangeNet: A Deep Learning Architecture for Visual Change DetectionVarghese, Ashley / Gubbi, Jayavardhana / Ramaswamy, Akshaya / Balamuralidhar, P. et al. | 2019
- 11
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DeeSIL: Deep-Shallow Incremental LearningBelouadah, Eden / Popescu, Adrian et al. | 2019
- 12
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Dynamic Adaptation on Non-stationary Visual DomainsShkodrani, Sindi / Hofmann, Michael / Gavves, Efstratios et al. | 2019
- 13
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Domain Adaptive Semantic Segmentation Through Structure EnhancementLv, Fengmao / Lian, Qing / Yang, Guowu / Lin, Guosheng / Pan, Sinno Jialin / Duan, Lixin et al. | 2019
- 14
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Adding New Tasks to a Single Network with Weight Transformations Using Binary MasksMancini, Massimiliano / Ricci, Elisa / Caputo, Barbara / Bulò, Samuel Rota et al. | 2019
- 15
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Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical LimitationsDevanne, Maxime / Nguyen, Sao Mai et al. | 2019
- 16
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Model Selection for Generalized Zero-Shot LearningZhang, Hongguang / Koniusz, Piotr et al. | 2019
- 17
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Multi-Domain Pose Network for Multi-Person Pose Estimation and TrackingGuo, Hengkai / Tang, Tang / Luo, Guozhong / Chen, Riwei / Lu, Yongchen / Wen, Linfu et al. | 2019
- 18
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Enhanced Two-Stage Multi-person Pose EstimationHonda, Hiroto / Kato, Tomohiro / Uchida, Yusuke et al. | 2019
- 19
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Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid NetworkYu, Dongdong / Su, Kai / Sun, Jia / Wang, Changhu et al. | 2019
- 20
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A Top-Down Approach to Articulated Human Pose Estimation and TrackingNing, Guanghan / Liu, Ping / Fan, Xiaochuan / Zhang, Chi et al. | 2019
- 21
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Deep Fusion Network for Splicing Forgery LocalizationLiu, Bo / Pun, Chi-Man et al. | 2019
- 22
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Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random FieldsCun, Xiaodong / Pun, Chi-Man et al. | 2019
- 23
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Bridging Machine Learning and Cryptography in Defence Against Adversarial AttacksTaran, Olga / Rezaeifar, Shideh / Voloshynovskiy, Slava et al. | 2019
- 24
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Bidirectional Convolutional LSTM for the Detection of Violence in VideosHanson, Alex / PNVR, Koutilya / Krishnagopal, Sanjukta / Davis, Larry et al. | 2019
- 25
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Are You Tampering with My Data?Alberti, Michele / Pondenkandath, Vinaychandran / Würsch, Marcel / Bouillon, Manuel / Seuret, Mathias / Ingold, Rolf / Liwicki, Marcus et al. | 2019
- 26
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Adversarial Examples Detection in Features Distance SpacesCarrara, Fabio / Becarelli, Rudy / Caldelli, Roberto / Falchi, Fabrizio / Amato, Giuseppe et al. | 2019
- 27
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Give Ear to My Face: Modelling Multimodal Attention to Social InteractionsBoccignone, Giuseppe / Cuculo, Vittorio / D’Amelio, Alessandro / Grossi, Giuliano / Lanzarotti, Raffaella et al. | 2019
- 28
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Investigating Depth Domain Adaptation for Efficient Human Pose EstimationMartínez-González, Angel / Villamizar, Michael / Canévet, Olivier / Odobez, Jean-Marc et al. | 2019
- 29
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Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising AutoencodersCarissimi, Nicolò / Rota, Paolo / Beyan, Cigdem / Murino, Vittorio et al. | 2019
- 30
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Pose Guided Human Image Synthesis by View Disentanglement and Enhanced Weighting LossLakhal, Mohamed Ilyes / Lanz, Oswald / Cavallaro, Andrea et al. | 2019
- 31
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A Semi-supervised Data Augmentation Approach Using 3D Graphical EnginesLiu, Shuangjun / Ostadabbas, Sarah et al. | 2019
- 32
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Towards Learning a Realistic Rendering of Human BehaviorEsser, Patrick / Haux, Johannes / Milbich, Timo / Ommer, Björn et al. | 2019
- 33
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Human Action Recognition Based on Temporal Pose CNN and Multi-dimensional FusionHuang, Yi / Lai, Shang-Hong / Tai, Shao-Heng et al. | 2019
- 34
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Rendering Realistic Subject-Dependent Expression Images by Learning 3DMM Deformation CoefficientsFerrari, Claudio / Berretti, Stefano / Pala, Pietro / Del Bimbo, Alberto et al. | 2019
- 35
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Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze ModelYu, Yu / Liu, Gang / Odobez, Jean-Marc et al. | 2019
- 36
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Photorealistic Facial Synthesis in the Dimensional Affect SpaceKollias, Dimitrios / Cheng, Shiyang / Pantic, Maja / Zafeiriou, Stefanos et al. | 2019
- 37
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Generating Synthetic Video Sequences by Explicitly Modeling Object MotionPalazzo, S. / Spampinato, C. / D’Oro, P. / Giordano, D. / Shah, M. et al. | 2019
- 38
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A Semi-supervised Deep Generative Model for Human Body Analysisde Bem, Rodrigo / Ghosh, Arnab / Ajanthan, Thalaiyasingam / Miksik, Ondrej / Siddharth, N. / Torr, Philip et al. | 2019
- 39
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Role of Group Level Affect to Find the Most Influential Person in ImagesGhosh, Shreya / Dhall, Abhinav et al. | 2019
- 40
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Residual Stacked RNNs for Action RecognitionLakhal, Mohamed Ilyes / Clapés, Albert / Escalera, Sergio / Lanz, Oswald / Cavallaro, Andrea et al. | 2019
- 41
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Semantically Selective Augmentation for Deep Compact Person Re-IdentificationPonce-López, Víctor / Burghardt, Tilo / Hannunna, Sion / Damen, Dima / Masullo, Alessandro / Mirmehdi, Majid et al. | 2019
- 42
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Recognizing People in Blind Spots Based on Surrounding BehaviorHara, Kensho / Kataoka, Hirokatsu / Inaba, Masaki / Narioka, Kenichi / Satoh, Yutaka et al. | 2019
- 43
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Visual Relationship Prediction via Label Clustering and Incorporation of Depth InformationYang, Hsuan-Kung / Cheng, An-Chieh / Ho, Kuan-Wei / Fu, Tsu-Jui / Lee, Chun-Yi et al. | 2019
- 44
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Human-Centric Visual Relation Segmentation Using Mask R-CNN and VTransEYu, Fan / Tan, Xin / Ren, Tongwei / Wu, Gangshan et al. | 2019
- 45
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Learning Spatiotemporal 3D Convolution with Video Order Self-supervisionSuzuki, Tomoyuki / Itazuri, Takahiro / Hara, Kensho / Kataoka, Hirokatsu et al. | 2019
- 46
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What Was Monet Seeing While Painting? Translating Artworks to Photo-Realistic ImagesTomei, Matteo / Baraldi, Lorenzo / Cornia, Marcella / Cucchiara, Rita et al. | 2019
- 47
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Saliency-Driven Variational Retargeting for Historical MapsBergamasco, Filippo / Traviglia, Arianna / Torsello, Andrea et al. | 2019
- 48
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Deep Transfer Learning for Art Classification ProblemsSabatelli, Matthia / Kestemont, Mike / Daelemans, Walter / Geurts, Pierre et al. | 2019
- 49
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Reflecting on How Artworks Are Processed and Analyzed by Computer VisionLang, Sabine / Ommer, Björn et al. | 2019
- 50
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Seeing the World Through Machinic Eyes: Reflections on Computer Vision in the ArtsGoeting, Marijke et al. | 2019
- 51
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A Digital Tool to Understand the Pictorial Procedures of 17\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^\mathrm{th}$$\end{document} Century RealismDi Cicco, Francesca / Wiersma, Lisa / Wijntjes, Maarten / Dik, Joris / Stumpel, Jeroen / Pont, Sylvia et al. | 2019
- 52
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How to Read Paintings: Semantic Art Understanding with Multi-modal RetrievalGarcia, Noa / Vogiatzis, George et al. | 2019
- 53
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Weakly Supervised Object Detection in ArtworksGonthier, Nicolas / Gousseau, Yann / Ladjal, Said / Bonfait, Olivier et al. | 2019
- 54
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Images of Image Machines. Visual Interpretability in Computer Vision for ArtOffert, Fabian et al. | 2019