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浏览/检索结果: 共7条，第1-7条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 The Influence of Background Ultrasonic Field on the Strength of Adhesive Zones under Dynamic Impact Loads 期刊论文  OAI收割 MATERIALS, 2021, 卷号: 14, 页码: 3188 作者:  Volkov, Grigory;  Logachev, Andrey;  Granichin, Nikolai;  Zhao YP(赵亚溥);  Zhang Y(张吟)   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/10/25 dynamic impact  background ultrasonic field  adhesive joint strength  incubation time criterion  fracture dynamics   3D Scanning of High Dynamic Scenes Using an RGB-D Sensor and an IMU on a Mobile Device 期刊论文  OAI收割 IEEE Access, 2019, 期号: 7, 页码: 24057-24070 作者:  Liu, Yangdong;  Gao, Wei;  Hu, Zhanyi   |  收藏  |  浏览/下载：59/0  |  提交时间：2019/05/08 Dynamic Scenes  Background Segmentation  Rgb-d  Mobile Device   Spatio-temporal context for codebook-based dynamic background subtraction 期刊论文  OAI收割 AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2010, 卷号: 64, 期号: 8, 页码: 739-747 作者:  Wu, Mingjun;  Peng, Xianrong 收藏  |  浏览/下载：16/0  |  提交时间：2015/09/21 Dynamic background subtraction  Object detection  Codebook  Spatio-temporal context  Markov random field   复杂场景下的运动目标检测 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2009 作者:  刘舟 收藏  |  浏览/下载：69/0  |  提交时间：2015/09/02 运动目标检测  背景建模  阴影去除  动态背景  遗弃物检测  moving object detection  background modeling  shadow removal  dynamic background  left-luggage detection   Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文  OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T. 收藏  |  浏览/下载：72/0  |  提交时间：2013/03/25 In the transportation monitor system  we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that  motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately  the arithmetic proposed in the paper can suppress shadow availably  we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter  detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE.  and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle  we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering   贝叶斯信息传递在计算机视觉中的应用 学位论文  OAI收割 工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2003 作者:  王东升 收藏  |  浏览/下载：41/0  |  提交时间：2015/09/02 信息传递  马尔可夫网络  贝叶斯推断  背景减除与维持  动态场景  深度恢复  图象增强  Belief Propagation  Markov Network  Bayesian Infeence  Background Maintanance and Subtraction  Dynamic Scen Depth Recovery  Super-Res   Analysis grassland dynamics and its environment background based on digital platform - in case of Inner Mongolia 会议论文  OAI收割 Igarss 2002: Ieee International Geoscience and Remote Sensing Symposium and 24th Canadian Symposium on Remote Sensing, Vols I-Vi, Proceedings: Remote Sensing: Integrating Our View of the Planet, New York Zou, Y; Zhang, Z; Zhou, Q; Liu, B 收藏  |  浏览/下载：14/0  |  提交时间：2014/12/07 GIS  RS  grassland dynamic environment background  LANDSCAPE CHANGES  LAND-USE