Academic literature on the topic 'Non-Overlapping View'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Non-Overlapping View.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Non-Overlapping View"
Tribou, Michael J., Adam Harmat, David W. L. Wang, Inna Sharf, and Steven L. Waslander. "Multi-camera parallel tracking and mapping with non-overlapping fields of view." International Journal of Robotics Research 34, no. 12 (April 23, 2015): 1480–500. http://dx.doi.org/10.1177/0278364915571429.
Full textLi, Zaijuan, and Volker Willert. "Subtleties of extrinsic calibration of cameras with non-overlapping fields of view." tm - Technisches Messen 86, no. 7-8 (July 26, 2019): 433–42. http://dx.doi.org/10.1515/teme-2019-0030.
Full textTribou, Michael J., David W. L. Wang, and Steven L. Waslander. "Degenerate motions in multicamera cluster SLAM with non-overlapping fields of view." Image and Vision Computing 50 (June 2016): 27–41. http://dx.doi.org/10.1016/j.imavis.2016.01.005.
Full textTribou, Michael J., Steven L. Waslander, and David W. L. Wang. "Scale recovery in multicamera cluster SLAM with non-overlapping fields of view." Computer Vision and Image Understanding 126 (September 2014): 53–66. http://dx.doi.org/10.1016/j.cviu.2014.06.001.
Full textRaposo, Carolina, João Pedro Barreto, and Urbano Nunes. "Extrinsic calibration of multi-modal sensor arrangements with non-overlapping field-of-view." Machine Vision and Applications 28, no. 1-2 (November 11, 2016): 141–55. http://dx.doi.org/10.1007/s00138-016-0815-1.
Full textLiu, Zhen, Xinguo Wei, and Guangjun Zhang. "External parameter calibration of widely distributed vision sensors with non-overlapping fields of view." Optics and Lasers in Engineering 51, no. 6 (June 2013): 643–50. http://dx.doi.org/10.1016/j.optlaseng.2012.11.009.
Full textKalake, Lesole, Wanggen Wan, and Yanqiu Dong. "Applying Ternion Stream DCNN for Real-Time Vehicle Re-Identification and Tracking across Multiple Non-Overlapping Cameras." Sensors 22, no. 23 (November 28, 2022): 9274. http://dx.doi.org/10.3390/s22239274.
Full textGao, Rui, Changyun Miao, and Xianguo Li. "Adaptive Multi-View Image Mosaic Method for Conveyor Belt Surface Fault Online Detection." Applied Sciences 11, no. 6 (March 12, 2021): 2564. http://dx.doi.org/10.3390/app11062564.
Full textWei, Zhenzhong, Wei Zou, Guangjun Zhang, and Kai Zhao. "Extrinsic parameters calibration of multi-camera with non-overlapping fields of view using laser scanning." Optics Express 27, no. 12 (May 31, 2019): 16719. http://dx.doi.org/10.1364/oe.27.016719.
Full textAl-Qattan, M. M. "Embryology of familial (non-syndromic) brachydactyly of the hand." Journal of Hand Surgery (European Volume) 39, no. 9 (December 3, 2013): 926–33. http://dx.doi.org/10.1177/1753193413514363.
Full textDissertations / Theses on the topic "Non-Overlapping View"
Rawat, Vineet. "Finite Element Domain Decomposition with Second Order Transmission Conditions for Time-Harmonic Electromagnetic Problems." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1243360543.
Full textKim, Jae-Hak, and Jae-Hak Kim@anu edu au. "Camera Motion Estimation for Multi-Camera Systems." The Australian National University. Research School of Information Sciences and Engineering, 2008. http://thesis.anu.edu.au./public/adt-ANU20081211.011120.
Full textJiménez, González Xavier. "Improvements in the registration of multimodal medical imaging : application to intensity inhomogeneity and partial volume corrections." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/458881.
Full textEl registre d'imatges mèdiques té un paper rellevant en les decisions de diagnòstic i tractament clíniques així com en la recerca. Amb el desenvolupament de noves tecnologies d'imatge multimodal, el registre robust d'informació funcional i anatòmica és encara avui un repte, en particular, en imatge de petit animal amb un menor contingut estructural que en humans de certes parts anatòmiques com el cervell. A més, els artefactes induïts pel propi pacient i per la tècnica d'adquisició que afecten el contingut d'informació de les imatges complica encara més el procés de registre. És el cas de les inhomogeneïtats d'intensitat (IIH) que apareixen a les RM i de l'efecte de volum parcial (PVE) característic en PET. Tot i que existeixen mètodes de referència pel registre acurat d'imatges la seva eficàcia es veu greument minvada en casos de poc solapament entre les imatges. De la mateixa manera, també existeixen mètodes per la correcció d'IIH i de PVE però que no garanteixen o que requereixen un registre robust. Aquesta tesi es centra en superar aquestes limitacions sobre el registre per habilitar nous mètodes per la correcció d'IIH i de PVE.
Clootens, Nicolas. "Trois essais sur les Relations de Long Terme entre Croissance et Environnement." Thesis, Orléans, 2017. http://www.theses.fr/2017ORLE0505/document.
Full textHuman activities and the environment interact through multiple and complex relations. Can the natural environment be viewed as a limit to growth ? This thesis tries to develop answers to this crucial question.The first chapter shows that environmental degradations may constitute a brake on growth diminishing life expectancy, and thus savings. It also shows that environmental poverty traps may exist. However,public environmental policies may help countries to escape from such traps, and to reach a higher level of income per capita. In the second chapter, we suggest that the existence of polluting non-renewable resources necessary for production may hamper growth. However, we show that flow pollutions caused by the use of resources can’t be seen as a development brake. Then, following neoclassical works of the1970s, we confirm that exogenous technological progress and sufficient substitution possibilities mayal low to overcome difficulties linked to the exhaustibility of resources. Finally, the third chapter demonstrates that, in low-income economies, strong resource dependency dampens growth while abundanceis growth promoting. Dependence is the outcome of economic choices. Thus a diversification policy that consists on investing the rent in secondary and tertiary sectors may help reduce dependence. Finally, we suggest that the development of education, institutions, and financial markets may allow to decrease the probability to experience a resource curse
Tang, Rui-Hong, and 唐瑞鴻. "Multi-View Vehicle Identification under Non-Overlapping Cameras using Probability SVM with Weighted Random Tree." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/19724782280648092473.
Full text國立成功大學
資訊工程學系碩博士班
97
Nowadays, more and more surveillance systems are setup along the streets. It is more and more impractical to rely on humans to find vehicles. We proposed an approach to identify vehicles under non-overlapping cameras. The challenges of vehicle identification are the variation in image size, illumination, and view angles under different cameras. The identification problem is formulated as a same-different classification problem. The proposed approach is based on quantizing the scale-invariant features of image pairs by the weighted random trees. The descriptors of quantized image pairs are used to train a popular classifier such as Support Vector Machine (SVM). The main contributions of this thesis are that it efficiently builds the randomized tree due to the weights of the samples and the control of the false-positive rate of this system.
Hsu, Chih-hao, and 徐志豪. "Multi-vehicle Tracking With Non-overlapping Camera Views." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/60196405777572335433.
Full text國立中央大學
資訊工程學系
102
The aim of this thesis is to construct a computer vision-based multi-vehicle tracking non-over lapping system, which can track the same car across cameras. Therefore, a lot of human resources can be saved, and can narrow the search scope of the event. Events include a hit and run, stolen vehicle tracking or some crime tracking. By cross-camera tracking, which intersection the car bound for can be known and to notify the police for the further processing. First, background subtraction is used to extract foreground objects, then the shadow removing, morphological operation and convex hull is applied to make the objects more completely. Finally, the bounding box of the objects would be tracked. The tracking method used in this thesis is similarity matching of features, when the probability is higher than a threshold, the tracking is success. The limitation of the proposed mating method is relatively free from the scene, and does not require training in advance.
Wu, Chen-Shien, and 吳俊賢. "Humans Tracking across Multiple Cameras with Non-overlapping Views." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/85098594589373587588.
Full text國立成功大學
電腦與通信工程研究所
97
Human tracking plays an important role in visual surveillance systems. Spatial-temporal movement and appearance of human provide significant visual cues to perform human tracking. We propose a method to estimate human transition probability across different views by a learning architecture. In the learning phase, we first use the prior knowledge to build the observed zones for each camera. Then, human tracking is performed to record the zones of the observed region where humans enter and leave. We use hidden Markov model (HMM) to learn the transition probability between observed zones. The time information such as the sequence of zone human moves is also imposed in HMM. In the testing phase, we present multi-camera tracking algorithm to perform correspondences between humans using the maximum a posteriori estimation framework by the human transition topology and appearance model. The parameters learned in the training phase will be updated with the incoming tracking results. We will show the experiment result using real world surveillance videos to evaluate our method.
Kim, Jae-Hak. "Camera Motion Estimation for Multi-Camera Systems." Phd thesis, 2008. http://hdl.handle.net/1885/49364.
Full textChen, Ke-Yin, and 陳科引. "Human Tracking using Augmented Feature Propagation for Multiple Cameras with Non-overlapping Views." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/27528348497112995914.
Full text國立清華大學
電機工程學系
99
Due to tremendous amount of crime activities have occurred recently, Security has become the important issue. Surveillance systems have been installed in home, airports, railway stations, department stores and other places. The traditional surveillance systems have required high human cost but with low efficiency. Therefore, new types of multi-camera surveillance system can automatically detect and continuously track the moving objects based on computer vision technology. Under some circumstances, the tracking of human objects may fail because of light change, unusual behaviors, clothes change between cameras, or staying in the blind region for a long time. It will generate path discontinuity. In this thesis, we make use of the relaxed features matching to solve the problem of missing object tracking. Furthermore, because of the viewing angle of the cameras or the objects’ moving directions are different, the captured features are not the same. We propose a concept indicating that the feature can be propagated between different scenes. The augmented feature can be used for cascading the objects paths. We propose Augmented Feature to correct the path by using the similar appearance of the objects across multiple cameras.
Books on the topic "Non-Overlapping View"
Draper, Paul, and J. L. Schellenberg, eds. Renewing Philosophy of Religion. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198738909.001.0001.
Full textBook chapters on the topic "Non-Overlapping View"
Sun, Xiaoyan, Faliang Chang, and Jiangbao Li. "Memory-Based Multi-camera Handover with Non-Overlapping Fields of View." In Advances in Intelligent and Soft Computing, 697–703. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25664-6_82.
Full textMuhle, Daniel, Steffen Abraham, Christian Heipke, and Manfred Wiggenhagen. "Estimating the Mutual Orientation in a Multi-camera System with a Non Overlapping Field of View." In Photogrammetric Image Analysis, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24393-6_2.
Full textTekin, Funda. "Differentiated Integration: An Alternative Conceptualization of EU–Turkey Relations." In EU-Turkey Relations, 157–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70890-0_7.
Full textHwang, Jenq-Neng, and Victor Gau. "Tracking of Multiple Objects over Camera Networks with Overlapping and Non-overlapping Views." In Distributed Video Sensor Networks, 103–17. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_7.
Full textChae, Hyun-Uk, and Kang-Hyun Jo. "Appearance Feature Based Human Correspondence under Non-overlapping Views." In Emerging Intelligent Computing Technology and Applications, 635–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_69.
Full textAkai, Ryota, Naoko Nitta, and Noboru Babaguchi. "Real-Time People Counting across Spatially Adjacent Non-overlapping Camera Views." In MultiMedia Modeling, 71–82. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14445-0_7.
Full textYang, Tianlong, Qiancheng Zhao, Quan Zhou, and Dongzhao Huang. "Global Calibration of Multi-camera Measurement System from Non-overlapping Views." In Studies in Computational Intelligence, 183–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69877-9_20.
Full textNitta, Naoko, Ryota Akai, and Noboru Babaguchi. "People Counting Across Non-overlapping Camera Views by Flow Estimation Among Foreground Regions." In Human Behavior Understanding in Networked Sensing, 239–59. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10807-0_11.
Full textAikhenvald, Alexandra Y. "A view from the North." In Genders and Classifiers, 103–43. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198842019.003.0004.
Full textHarris, Randy Allen. "Generative Semantics 4: The Collapse." In The Linguistics Wars, 223–60. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780199740338.003.0007.
Full textConference papers on the topic "Non-Overlapping View"
Brito, Darlan N., Flávio L. C. Pádua, Rodrigo L. Carceroni, and Guilherme A. S. Pereira. "Synchronizing Video Cameras with Non-overlapping Fields of View." In 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI). IEEE, 2008. http://dx.doi.org/10.1109/sibgrapi.2008.28.
Full textMehmood, Muhammad Owais, and Attaullah Khawaja. "Multi-camera Based Human Tracking with Non-overlapping Fields of View." In 2009 International Conference on Image and Graphics (ICIG). IEEE, 2009. http://dx.doi.org/10.1109/icig.2009.124.
Full textTeoh, Shen Khang, Vooi Voon Yap, and Humaira Nisar. "A Non-Overlapping View Human Tracking Algorithm using HSV Colour Space." In 2019 International Conference on Green and Human Information Technology (ICGHIT). IEEE, 2019. http://dx.doi.org/10.1109/icghit.2019.00030.
Full textMehmood, Muhammad Owais. "Multi-camera based human tracking with non-Overlapping fields of view." In 2009 International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2009. http://dx.doi.org/10.1109/icaict.2009.5372547.
Full textKazik, T., L. Kneip, J. Nikolic, M. Pollefeys, and R. Siegwart. "Real-time 6D stereo Visual Odometry with non-overlapping fields of view." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6247843.
Full text"TRACKING-BY-REIDENTIFICATION IN A NON-OVERLAPPING FIELDS OF VIEW CAMERAS NETWORK." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003818300950103.
Full textDas, Sandipan, Navid Mahabadi, Addi Djikic, Cesar Nassir, Saikat Chatterjee, and Maurice Fallon. "Extrinsic Calibration and Verification of Multiple Non-overlapping Field of View Lidar Sensors." In 2022 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2022. http://dx.doi.org/10.1109/icra46639.2022.9811704.
Full textRedding, Nicholas J., Julius Fabian Ohmer, Judd Kelly, and Tristrom Cooke. "Cross-Matching via Feature Matching for Camera Handover with Non-overlapping Fields of View." In 2008 Digital Image Computing: Techniques and Applications. IEEE, 2008. http://dx.doi.org/10.1109/dicta.2008.38.
Full textChilgunde, A., P. Kumar, S. Ranganath, and H. Weimin. "Multi-Camera Target Tracking in Blind Regions of Cameras with Non-overlapping Fields of View." In British Machine Vision Conference 2004. British Machine Vision Association, 2004. http://dx.doi.org/10.5244/c.18.42.
Full textPflugfelder, Roman, and Horst Bischof. "Tracking across non-overlapping views via geometry." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761679.
Full text