Thematische Bibliographien / Système de multi-Camera

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Système de multi-Camera“

Autor: Grafiati
Veröffentlicht am 25. Mai 2024
Zuletzt aktualisiert am 31. Juli 2025

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Zeitschriftenartikel zum Thema "Système de multi-Camera"

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Guo Peiyao, 郭珮瑶, 蒲志远 Pu Zhiyuan та 马展 Ma Zhan. "多相机系统:成像增强及应用". Laser & Optoelectronics Progress 58, № 18 (2021): 1811013. http://dx.doi.org/10.3788/lop202158.1811013.

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Xiao Yifan, 肖一帆, та 胡伟 Hu Wei. "基于多相机系统的高精度标定". Laser & Optoelectronics Progress 60, № 20 (2023): 2015003. http://dx.doi.org/10.3788/lop222787.

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Zhao Yanfang, 赵艳芳, 孙鹏 Sun Peng, 董明利 Dong Mingli, 刘其林 Liu Qilin, 燕必希 Yan Bixi та 王君 Wang Jun. "多相机视觉测量系统在轨自主定向方法". Laser & Optoelectronics Progress 61, № 10 (2024): 1011003. http://dx.doi.org/10.3788/lop231907.

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Ren Guoyin, 任国印, 吕晓琪 Xiaoqi Lü та 李宇豪 Li Yuhao. "多摄像机视场下基于一种DTN的多人脸实时跟踪系统". Laser & Optoelectronics Progress 59, № 2 (2022): 0210004. http://dx.doi.org/10.3788/lop202259.0210004.

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Kulathunga, Geesara, Aleksandr Buyval, and Aleksandr Klimchik. "Multi-Camera Fusion in Apollo Software Distribution." IFAC-PapersOnLine 52, no. 8 (2019): 49–54. http://dx.doi.org/10.1016/j.ifacol.2019.08.047.

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Mehta, S. S., and T. F. Burks. "Multi-camera Fruit Localization in Robotic Harvesting." IFAC-PapersOnLine 49, no. 16 (2016): 90–95. http://dx.doi.org/10.1016/j.ifacol.2016.10.017.

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R.Kennady, Et al. "A Nonoverlapping Vision Field Multi-Camera Network for Tracking Human Build Targets." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3 (2023): 366–69. http://dx.doi.org/10.17762/ijritcc.v11i3.9871.

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This research presents a procedure for tracking human build targets in a multi-camera network with nonoverlapping vision fields. The proposed approach consists of three main steps: single-camera target detection, single-camera target tracking, and multi-camera target association and continuous tracking. The multi-camera target association includes target characteristic extraction and the establishment of topological relations. Target characteristics are extracted based on the HSV (Hue, Saturation, and Value) values of each human build movement target, and the space-time topological relations o
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Guler, Puren, Deniz Emeksiz, Alptekin Temizel, Mustafa Teke, and Tugba Taskaya Temizel. "Real-time multi-camera video analytics system on GPU." Journal of Real-Time Image Processing 11, no. 3 (2013): 457–72. http://dx.doi.org/10.1007/s11554-013-0337-2.

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Huang, Sunan, Rodney Swee Huat Teo, and William Wai Lun Leong. "Multi-Camera Networks for Coverage Control of Drones." Drones 6, no. 3 (2022): 67. http://dx.doi.org/10.3390/drones6030067.

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Multiple unmanned multirotor (MUM) systems are becoming a reality. They have a wide range of applications such as for surveillance, search and rescue, monitoring operations in hazardous environments and providing communication coverage services. Currently, an important issue in MUM is coverage control. In this paper, an existing coverage control algorithm has been extended to incorporate a new sensor model, which is downward facing and allows pan-tilt-zoom (PTZ). Two new constraints, namely view angle and collision avoidance, have also been included. Mobile network coverage among the MUMs is s
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WANG, Liang. "Multi-Camera Calibration Based on 1D Calibration Object." ACTA AUTOMATICA SINICA 33, no. 3 (2007): 0225. http://dx.doi.org/10.1360/aas-007-0225.

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Dissertationen zum Thema "Système de multi-Camera"

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Mennillo, Laurent. "Reconstruction 3D de l'environnement dynamique d'un véhicule à l'aide d'un système multi-caméras hétérogène en stéréo wide-baseline." Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC022/document.

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Cette thèse a été réalisée dans le secteur de l'industrie automobile, en collaboration avec le Groupe Renault et concerne en particulier le développement de systèmes d'aide à la conduite avancés et de véhicules autonomes. Les progrès réalisés par la communauté scientifique durant les dernières décennies, dans les domaines de l'informatique et de la robotique notamment, ont été si importants qu'ils permettent aujourd'hui la mise en application de systèmes complexes au sein des véhicules. Ces systèmes visent dans un premier temps à réduire les risques inhérents à la conduite en assistant les con
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Petit, Benjamin. "Téléprésence, immersion et interactions pour le reconstruction 3D temps-réel." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00584001.

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Les environnements 3D immersifs et collaboratifs en ligne sont en pleine émergence. Ils posent les problématiques du sentiment de présence au sein des mondes virtuels, de l'immersion et des capacités d'interaction. Les systèmes 3D multi-caméra permettent, sur la base d'une information photométrique, d'extraire une information géométrique (modèle 3D) de la scène observée. Il est alors possible de calculer un modèle numérique texturé en temps-réel qui est utilisé pour assurer la présence de l'utilisateur dans l'espace numérique. Dans le cadre de cette thèse nous avons étudié comment coupler la c
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Chen, Huiqin. "Registration of egocentric views for collaborative localization in security applications." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG031.

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Cette thèse s’intéresse à la localisation collaborative à partir d’une caméra mobile et d’une caméra statique pour des applications de vidéo-surveillance. Pour la surveillance d’évènements sensibles, la sécurité civile recours de plus en plus à des réseaux de caméras collaboratives incluant des caméras dynamiques et des caméras de surveillance traditionnelles, statiques. Il s’agit, dans des scènes de foules, de localiser d’une part le porteur de la caméra (typiquement agent de sécurité) mais également des évènements observés dans les images, afin de guider les secours par exemple. Cependant, l
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Kim, 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.

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The estimation of motion of multi-camera systems is one of the most important tasks in computer vision research. Recently, some issues have been raised about general camera models and multi-camera systems. Using many cameras as a single camera is studied [60], and the epipolar geometry constraints of general camera models is theoretically derived. Methods for calibration, including a self-calibration method for general camera models, are studied [78, 62]. Multi-camera systems are an example of practically implementable general camera models and they are widely used in many applications nowaday
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Kim, Jae-Hak. "Camera motion estimation for multi-camera systems /." View thesis entry in Australian Digital Theses Program, 2008. http://thesis.anu.edu.au/public/adt-ANU20081211.011120/index.html.

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Jiang, Xiaoyan [Verfasser]. "Multi-Object Tracking-by-Detection Using Multi-Camera Systems / Xiaoyan Jiang." München : Verlag Dr. Hut, 2016. http://d-nb.info/1084385325/34.

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Krucki, Kevin C. "Person Re-identification in Multi-Camera Surveillance Systems." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448997579.

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Hammarlund, Emil. "Target-less and targeted multi-camera color calibration." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33876.

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Multiple camera arrays are beginning to see more widespread use in a variety of different applications, be it for research purposes or for enhancing the view- ing experience in entertainment. However, when using multiple cameras the images produced are often not color consistent due to a variety of different rea- sons such as differences in lighting, chip-level differences e.t.c. To address this there exists a multitude of different color calibration algorithms. This paper ex- amines two different color calibration algorithms one targeted and one target- less. Both methods were implemented in
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Åkesson, Ulrik. "Design of a multi-camera system for object identification, localisation, and visual servoing." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44082.

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In this thesis, the development of a stereo camera system for an intelligent tool is presented. The task of the system is to identify and localise objects so that the tool can guide a robot. Different approaches to object detection have been implemented and evaluated and the systems ability to localise objects has been tested. The results show that the system can achieve a localisation accuracy below 5 mm.
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Turesson, Eric. "Multi-camera Computer Vision for Object Tracking: A comparative study." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21810.

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Background: Video surveillance is a growing area where it can help with deterring crime, support investigation or to help gather statistics. These are just some areas where video surveillance can aid society. However, there is an improvement that could increase the efficiency of video surveillance by introducing tracking. More specifically, tracking between cameras in a network. Automating this process could reduce the need for humans to monitor and review since the tracking can track and inform the relevant people on its own. This has a wide array of usability areas, such as forensic investig
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Bücher zum Thema "Système de multi-Camera"

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Beach, David Michael. Multi-camera benchmark localization for mobile robot networks. 2004.

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Beach, David Michael. Multi-camera benchmark localization for mobile robot networks. 2005.

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Knorr, Moritz. Self-Calibration of Multi-Camera Systems for Vehicle Surround Sensing. Saint Philip Street Press, 2020.

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Cerqueira, Manuel D. Gated SPECT MPI. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0006.

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Protocols for SPECT MPI have evolved over the last 40-years based on the following factors: available radiotracers and gamma camera imaging systems, alternative methods of stress, the needs and demands of patients and referring physicians, the need for radiation dose reduction and optimization of laboratory efficiency. Initially studies were performed using dynamic exercise planar multi-day Thallium-201 (Tl-201) studies. Pharmacologic stress agents were not available and novel methods of stress included swallowed esophageal pacing leads, cold presser limb emersion, direct atrial pacing, crushe
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Buchteile zum Thema "Système de multi-Camera"

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Porikli, Fatih. "Multi-Camera Surveillance." In Multisensor Surveillance Systems. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0371-2_10.

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Jirafe, Apurva, Mayuri Jibhe, and V. R. Satpute. "Camera Handoff for Multi-camera Surveillance." In Algorithms for Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4862-2_29.

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Popovic, Vladan, Kerem Seyid, Ömer Cogal, Abdulkadir Akin, and Yusuf Leblebici. "Omnidirectional Multi-Camera Systems Design." In Design and Implementation of Real-Time Multi-Sensor Vision Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59057-8_4.

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Popovic, Vladan, Kerem Seyid, Ömer Cogal, Abdulkadir Akin, and Yusuf Leblebici. "Miniaturization of Multi-Camera Systems." In Design and Implementation of Real-Time Multi-Sensor Vision Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59057-8_5.

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Javed, Omar, and Mubarak Shah. "Knight Surveillance System Deployment." In Automated Multi-Camera Surveillance: Algorithms and Practice. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78881-4_6.

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Frahm, Jan-Michael, Kevin Köser, and Reinhard Koch. "Pose Estimation for Multi-camera Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28649-3_35.

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Brückner, Marcel, and Joachim Denzler. "Active Self-calibration of Multi-camera Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15986-2_4.

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Bae, Soonmin. "Dense 3D Reconstruction in Multi-camera Systems." In Progress in Optomechatronic Technologies. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05711-8_6.

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Matsuyama, Takashi, Shohei Nobuhara, Takeshi Takai, and Tony Tung. "Multi-camera Systems for 3D Video Production." In 3D Video and Its Applications. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4120-4_2.

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Popovic, Vladan, Kerem Seyid, Ömer Cogal, Abdulkadir Akin, and Yusuf Leblebici. "State-of-the-Art Multi-Camera Systems." In Design and Implementation of Real-Time Multi-Sensor Vision Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59057-8_2.

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Konferenzberichte zum Thema "Système de multi-Camera"

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Magiera, Artur Morys, Marek Długosz, and Paweł Skruch. "Multi-camera multi-robot visual localization system." In 2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2024. http://dx.doi.org/10.1109/mmar62187.2024.10680813.

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Busch, Daniel, Ido Freeman, Richard Meyes, and Tobias Meisen. "Improved Single Camera BEV Perception Using Multi-Camera Training." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10920077.

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Bergia, Stefano, Giuseppe Rizzo, Manuel Gaetani, Mario Chiesa, and Fabrizio Dominici. "ByteReID: An Efficient Online Multi Camera Multi-Person Tracking System." In 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2024. http://dx.doi.org/10.1109/aict61888.2024.10740451.

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Dondo, Diego Gonzalez, Fernando Trasobares, Leandro Yoaquino, Julian Padilla, and Javier Redolfi. "Calibration of multi-camera systems." In 2015 XVI Workshop on Information Processing and Control (RPIC). IEEE, 2015. http://dx.doi.org/10.1109/rpic.2015.7497094.

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Salman, Bakhita, Mohammed I. Thanoon, Saleh Zein-Sabatto, and Fenghui Yao. "Multi-camera Smart Surveillance System." In 2017 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2017. http://dx.doi.org/10.1109/csci.2017.78.

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Napoletano, Paolo, and Francesco Tisato. "An attentive multi-camera system." In IS&T/SPIE Electronic Imaging, edited by Kurt S. Niel and Philip R. Bingham. SPIE, 2014. http://dx.doi.org/10.1117/12.2042652.

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Behera, Reena Kumari, Pallavi Kharade, Suresh Yerva, Pranali Dhane, Ankita Jain, and Krishnan Kutty. "Multi-camera based surveillance system." In 2012 World Congress on Information and Communication Technologies (WICT). IEEE, 2012. http://dx.doi.org/10.1109/wict.2012.6409058.

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Yang, Feng, Zhao Liming, Zhang Yi, and Kuang Hengyang. "Multi-camera System Depth Estimation." In 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022. http://dx.doi.org/10.1109/itoec53115.2022.9734714.

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Costache, Alexandru, Dan Popescu, Cosmin Popa, and Stefan Mocanu. "Multi-Camera Video Surveillance." In 2019 22nd International Conference on Control Systems and Computer Science (CSCS). IEEE, 2019. http://dx.doi.org/10.1109/cscs.2019.00096.

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Wu, Haoyu, Shaomin Xiong, and Toshiki Hirano. "A Real-Time Human Recognition and Tracking System With a Dual-Camera Setup." In ASME 2019 28th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/isps2019-7469.

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Abstract Most surveillance camera systems are still controlled and monitored by humans. Smart surveillance camera systems are proposed to automatically understand the scene captured, identify the objects of interest, detect the abnormality, etc. However, most surveillance cameras are either wide-angle or pan-tilt-zoom (PTZ). When the cameras are in the wide-view mode, small objects can be hard to be recognized. On the other hand, when the cameras are zoomed-in to the object of interest, the global view cannot be covered and important events outside the zoomed view will be missed. In this paper
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Berichte der Organisationen zum Thema "Système de multi-Camera"

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Davis, Tim, Frank Lang, Joe Sinneger, Paul Stabile, and John Tower. Multi-Band Infrared Camera Systems. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada294028.

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Frankel, Martin, and Jon A. Webb. Design, Implementation, and Performance of a Scalable Multi-Camera Interactive Video Capture System,. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada303255.

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Yoel, David, Tina Sicilia, Matthew Bogaart, and Jeremy Fernandes. PR-417-203902-R01 Remote Sensing and Leak Detection Platform That Can Deploy Multiple Sensor Types. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000052.

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The PRCI Project #417-203902 - ROW 3-1-A Final Report is attached for Member review and comment. The report includes a summary of all work completed in all Tasks which include: - Catalog, taxonomy, and sample data set for the threats detected. - Benchmarks of the sensitivity, accuracy, reliability, and robustness of an automated multi sensor, multi-threat detection and near real-time reporting comparing performance on conventional aircraft and UAS. - Technical synopsis for operators on integrating automated near real-time aerial threat reports into pipeline performance and safety improvement p
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Tao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir, and Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7594391.bard.

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Extending the previous two years of research results (Mizarch, et al, 2012, Tao, 2011, 2012), the third year’s efforts in both Maryland and Israel were directed towards the engineering of the system. The activities included the robust chick handling and its conveyor system development, optical system improvement, online dynamic motion imaging of chicks, multi-image sequence optimal feather extraction and detection, and pattern recognition. Mechanical System Engineering The third model of the mechanical chick handling system with high-speed imaging system was built as shown in Fig. 1. This syst
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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob
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