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Статті в журналах з теми "Robust Human Detection"
GUAN, F., L. Y. LI, S. S. GE, and A. P. LOH. "ROBUST HUMAN DETECTION AND IDENTIFICATION BY USING STEREO AND THERMAL IMAGES IN HUMAN ROBOT INTERACTION." International Journal of Information Acquisition 04, no. 02 (June 2007): 161–83. http://dx.doi.org/10.1142/s0219878907001241.
Повний текст джерелаIwata, Kenji, Yutaka Satoh, Ikushi Yoda, and Katsuhiko Sakaue. "Hybrid Camera Surveillance System Using Robust Human Detection." IEEJ Transactions on Electronics, Information and Systems 127, no. 6 (2007): 837–43. http://dx.doi.org/10.1541/ieejeiss.127.837.
Повний текст джерелаAl-Hazaimeh, Obaida M., Malek Al-Nawashi, and Mohamad Saraee. "Geometrical-based approach for robust human image detection." Multimedia Tools and Applications 78, no. 6 (August 4, 2018): 7029–53. http://dx.doi.org/10.1007/s11042-018-6401-y.
Повний текст джерелаChowdhury, Mozammel, Junbin Gao, and Rafiqul Islam. "Robust human detection and localization in security applications." Concurrency and Computation: Practice and Experience 29, no. 23 (October 22, 2016): e3977. http://dx.doi.org/10.1002/cpe.3977.
Повний текст джерелаIwata, Kenji, Yutaka Satoh, Ikushi Yoda, and Katsuhiko Sakaue. "Hybrid camera surveillance system using robust human detection." Electronics and Communications in Japan 91, no. 11 (November 2008): 11–18. http://dx.doi.org/10.1002/ecj.10006.
Повний текст джерелаStörring, Moritz, Hans J. Andersen, and Erik Granum. "A multispectral approach to robust human skin detection." Conference on Colour in Graphics, Imaging, and Vision 2, no. 1 (January 1, 2004): 110–15. http://dx.doi.org/10.2352/cgiv.2004.2.1.art00024.
Повний текст джерелаWooJang, Seok, and Siwoo Byun. "Facial region detection robust to changing backgrounds." International Journal of Engineering & Technology 7, no. 2.12 (April 3, 2018): 25. http://dx.doi.org/10.14419/ijet.v7i2.12.11028.
Повний текст джерелаZhong, Xubin, Changxing Ding, Xian Qu, and Dacheng Tao. "Polysemy Deciphering Network for Robust Human–Object Interaction Detection." International Journal of Computer Vision 129, no. 6 (April 19, 2021): 1910–29. http://dx.doi.org/10.1007/s11263-021-01458-8.
Повний текст джерелаCHO, SANG-HO, TAEWAN KIM, and DAIJIN KIM. "POSE ROBUST HUMAN DETECTION IN DEPTH IMAGES USING MULTIPLY-ORIENTED 2D ELLIPTICAL FILTERS." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 05 (August 2010): 691–717. http://dx.doi.org/10.1142/s0218001410008135.
Повний текст джерелаSRISUK, SANUN, WERASAK KURUTACH, and KONGSAK LIMPITIKEAT. "A NOVEL APPROACH FOR ROBUST, FAST AND ACCURATE FACE DETECTION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 09, no. 06 (December 2001): 769–79. http://dx.doi.org/10.1142/s0218488501001228.
Повний текст джерелаДисертації з теми "Robust Human Detection"
Li, Ying. "Efficient and Robust Video Understanding for Human-robot Interaction and Detection." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu152207324664654.
Повний текст джерелаLeu, Adrian [Verfasser]. "Robust Real-time Vision-based Human Detection and Tracking / Adrian Leu." Aachen : Shaker, 2014. http://d-nb.info/1060622432/34.
Повний текст джерелаLeu, Adrian [Verfasser], Axel [Akademischer Betreuer] Gräser, and Udo [Akademischer Betreuer] Frese. "Robust Real-time Vision-based Human Detection and Tracking / Adrian Leu. Gutachter: Udo Frese. Betreuer: Axel Gräser." Bremen : Staats- und Universitätsbibliothek Bremen, 2014. http://d-nb.info/1072226340/34.
Повний текст джерелаTerzi, Matteo. "Learning interpretable representations for classification, anomaly detection, human gesture and action recognition." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3423183.
Повний текст джерелаZhu, Youding. "Model-Based Human Pose Estimation with Spatio-Temporal Inferencing." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1242752509.
Повний текст джерелаTasaki, Tsuyoshi. "People Detection based on Points Tracked by an Omnidirectional Camera and Interaction Distance for Service Robots System." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180473.
Повний текст джерелаYi, Fei. "Robust eye coding mechanisms in humans during face detection." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/31011/.
Повний текст джерелаAlanenpää, Madelene. "Gaze detection in human-robot interaction." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-428387.
Повний текст джерелаAntonucci, Alessandro. "Socially aware robot navigation." Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/356142.
Повний текст джерелаBriquet-Kerestedjian, Nolwenn. "Impact detection and classification for safe physical Human-Robot Interaction under uncertainties." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC038/document.
Повний текст джерелаThe present thesis aims to develop an efficient strategy for impact detection and classification in the presence of modeling uncertainties of the robot and its environment and using a minimum number of sensors, in particular in the absence of force/torque sensor.The first part of the thesis deals with the detection of an impact that can occur at any location along the robot arm and at any moment during the robot trajectory. Impact detection methods are commonly based on a dynamic model of the system, making them subject to the trade-off between sensitivity of detection and robustness to modeling uncertainties. In this respect, a quantitative methodology has first been developed to make explicit the contribution of the errors induced by model uncertainties. This methodology has been applied to various detection strategies, based either on a direct estimate of the external torque or using disturbance observers, in the perfectly rigid case or in the elastic-joint case. A comparison of the type and structure of the errors involved and their consequences on the impact detection has been deduced. In a second step, novel impact detection strategies have been designed: the dynamic effects of the impacts are isolated by determining the maximal error range due to modeling uncertainties using a stochastic approach.Once the impact has been detected and in order to trigger the most appropriate post-impact robot reaction, the second part of the thesis focuses on the classification step. In particular, the distinction between an intentional contact (the human operator intentionally interacts with the robot, for example to reconfigure the task) and an undesired contact (a human subject accidentally runs into the robot), as well as the localization of the contact on the robot, is investigated using supervised learning techniques and more specifically feedforward neural networks. The challenge of generalizing to several human subjects and robot trajectories has been investigated
Книги з теми "Robust Human Detection"
The Lost Symbol. 2nd ed. London: Corgi Books, 2013.
Знайти повний текст джерелаBrown, Dan. The Lost Symbol: A novel. New York, USA: Doubleday, 2009.
Знайти повний текст джерелаBrown, Dan. El símbolo perdido. Barcelona: Planeta, 2017.
Знайти повний текст джерелаBrown, Dan. Le symbole perdu: Roman. Paris: JC Lattes, 2009.
Знайти повний текст джерелаBrown, Dan. The Lost Symbol. New York, USA: Random House Large Print, 2009.
Знайти повний текст джерелаBrown, Dan. Rosuto shinboru. Tōkyō: Kadokawa Shoten, 2010.
Знайти повний текст джерелаBrown, Dan. The Lost Symbol. London: Bantam Press, 2009.
Знайти повний текст джерелаBrown, Dan. Il simbolo perduto. Milano: Mondadori, 2009.
Знайти повний текст джерелаBrown, Dan. Le Symbole Perdu. Paris: JC Lattès, 2009.
Знайти повний текст джерелаBrown, Dan. Utrachennyĭ simvol: Roman. Moskva: AST, 2010.
Знайти повний текст джерелаЧастини книг з теми "Robust Human Detection"
Liu, Pengfei, Xue Zhou, and Shibin Cai. "Omega-Shape Feature Learning for Robust Human Detection." In Communications in Computer and Information Science, 290–303. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3002-4_25.
Повний текст джерелаLi, Tianshuo, Yanwei Pang, Jing Pan, and Changshu Liu. "Weighted Deformable Part Model for Robust Human Detection." In Intelligent Computing Theory, 764–75. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09333-8_83.
Повний текст джерелаLi, Haojie, Fuming Sun, and Yue Guan. "Robust Detection and Localization of Human Action in Video." In Lecture Notes in Computer Science, 263–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35728-2_25.
Повний текст джерелаSchwartz, William Robson, Raghuraman Gopalan, Rama Chellappa, and Larry S. Davis. "Robust Human Detection under Occlusion by Integrating Face and Person Detectors." In Advances in Biometrics, 970–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01793-3_98.
Повний текст джерелаMikolajczyk, Krystian, Cordelia Schmid, and Andrew Zisserman. "Human Detection Based on a Probabilistic Assembly of Robust Part Detectors." In Lecture Notes in Computer Science, 69–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24670-1_6.
Повний текст джерелаBhalerao, Shailesh Vitthalrao, and Ram Bilas Pachori. "Automatic Detection of Motor Imagery EEG Signals Using Swarm Decomposition for Robust BCI Systems." In Human-Machine Interface Technology Advancements and Applications, 35–64. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003326830-3.
Повний текст джерелаPham-Ngoc, Phuong-Trinh, Tae-Ho Kim, and Kang-Hyun Jo. "Robust Human Face Detection for Moving Pictures Based on Cascade-Typed Hybrid Classifier." In Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 1110–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74205-0_115.
Повний текст джерелаIwata, Kenji, Yutaka Satoh, Ikushi Yoda, and Katsuhiko Sakaue. "Hybrid Camera Surveillance System by Using Stereo Omni-directional System and Robust Human Detection." In Advances in Image and Video Technology, 611–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11949534_61.
Повний текст джерелаYan Shan, Ang. "DNA Split Proximity Circuit for Visualizing Cell Surface Receptor Clustering—A Case Study Using Human Epidermal Growth Factor Receptor Family." In Engineering a Robust DNA Circuit for the Direct Detection of Biomolecular Interactions, 143–56. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2188-7_8.
Повний текст джерелаSaad, Alia, Jonathan Liebers, Stefan Schneegass, and Uwe Gruenefeld. "“They see me scrollin”—Lessons Learned from Investigating Shoulder Surfing Behavior and Attack Mitigation Strategies." In Human Factors in Privacy Research, 199–218. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28643-8_10.
Повний текст джерелаТези доповідей конференцій з теми "Robust Human Detection"
Hidai, Ken-ichi, T. Kanamori, Hiroshi Mizoguchi, Kazuyuki Hiraoka, Masaru Tanaka, Takaomi Shigehara, and Taketoshi Mishima. "Robust face detection for human interactive mobile robot." In Intelligent Systems and Smart Manufacturing, edited by Howie M. Choset, Douglas W. Gage, and Matthew R. Stein. SPIE, 2001. http://dx.doi.org/10.1117/12.417299.
Повний текст джерелаRaviteja, Thaluru, Srikrishna Karanam, and Dinesh Reddy V. Yeduguru. "A robust human face detection algorithm." In Fourth International Conference on Machine Vision (ICMV 11), edited by Zhu Zeng and Yuting Li. SPIE, 2012. http://dx.doi.org/10.1117/12.920068.
Повний текст джерелаYoon, Hosub, Dohyung Kim, Suyoung Chi, and Youngjo Cho. "A robust human head detection method for human tracking." In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2006. http://dx.doi.org/10.1109/iros.2006.282159.
Повний текст джерелаMartinez-Martin, Ester, and Angel P. del Pobil. "Robust Motion Detection and Tracking for Human-Robot Interaction." In HRI '17: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3029798.3029799.
Повний текст джерелаZhang, Li, and Xiangxu Meng. "Enhanced Robust Vortex Detection." In 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2012. http://dx.doi.org/10.1109/ihmsc.2012.149.
Повний текст джерелаBell, Amy E. "Robust feature vector for efficient human detection." In 2013 IEEE Applied Imagery Pattern Recognition Workshop: Sensing for Control and Augmentation (AIPR 2013). IEEE, 2013. http://dx.doi.org/10.1109/aipr.2013.6749310.
Повний текст джерелаJianwei Niu, Xiaoke Zhao, Muhammad Ali Abdul Aziz, Jiangwei Li, Kongqiao Wang, and Aimin Hao. "Human hand detection using robust local descriptors." In 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, 2013. http://dx.doi.org/10.1109/icmew.2013.6618239.
Повний текст джерела"ROBUST HUMAN SKIN DETECTION IN COMPLEX ENVIRONMENTS." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001376300270034.
Повний текст джерелаLi, Liyuan, Jerry Kah Eng Hoe, Shuicheng Yan, and Xinguo Yu. "ML-fusion based multi-model human detection and tracking for robust human-robot interfaces." In 2009 Workshop on Applications of Computer Vision (WACV). IEEE, 2009. http://dx.doi.org/10.1109/wacv.2009.5403083.
Повний текст джерелаWang, Yijing, Lei Zhang, Zhiqiang Zuo, and Xiaoqiang Cheng. "Head-Body Correlation for Robust Crowd Human Detection." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9550747.
Повний текст джерелаЗвіти організацій з теми "Robust Human Detection"
Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2015. http://dx.doi.org/10.55274/r0010891.
Повний текст джерелаDouglas, Thomas A., Christopher A. Hiemstra, Stephanie P. Saari, Kevin L. Bjella, Seth W. Campbell, M. Torre Jorgenson, Dana R. N. Brown, and Anna K. Liljedahl. Degrading Permafrost Mapped with Electrical Resistivity Tomography, Airborne Imagery and LiDAR, and Seasonal Thaw Measurements. U.S. Army Engineer Research and Development Center, July 2021. http://dx.doi.org/10.21079/11681/41185.
Повний текст джерелаD’Agostino, Martin, Nigel Cook, Liam O’Connor, Annette Sansom, Dima Semaan, Anne Wood, Sue Keenan, and Linda Scobie. Optimising extraction and RT-qPCR-based detection of hepatitis E virus (HEV) from pork meat and products. Food Standards Agency, July 2023. http://dx.doi.org/10.46756/sci.fsa.ylv958.
Повний текст джерела