共查询到19条相似文献，搜索用时 371 毫秒
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为了将图像处理技术应用于智能客流检测,准确及时地获取运动信息,对视频图像中运动物体的分割与跟踪技术进行研究,将图像分割与跟踪技术有机地结合在一起。采用帧间与帧内相结合的分割算法,将图像填充技术应用于图像分割,消除了背景区域的干扰以及图像处理过程中造成的失真,达到了准确获取视频流中运动物体的目的。在图像跟踪过程,引入了边缘衍生点的概念,在此基础上,提出基于部分轮廓线特征点集的多线程跟踪算法,把运动物体跟踪转变为连续帧间特征点集匹配的问题,极大地减少了运算量,解决了图像跟踪处理领域中目标物体自遮挡与不完全遮挡的难题。经客流测试证明,文中方法能够对上下车客流数量进行准确统计。 相似文献
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一种基于边缘信息的车辆检测和跟踪方法 总被引：1，自引：0，他引：1
针对智能交通系统中运动车辆的检测和跟踪问题,提出1种基于边缘信息车辆检测和跟踪方法。利用背景边缘提取模板提取当前帧的精确背景边缘,进而获得前景车辆边缘,用形态学方法对其进行修复,寻找车辆的外轮廓,确定跟踪区域;由于车辆运动的特殊性,以当前帧的车速作为下一帧车速的预测值,并结合跟踪区域的外形信息进行匹配。从实验效果来看,该算法简单有效,适合于实时的车辆检测和跟踪系统。 相似文献
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针对海洋浮游生物实时探测中,三维形貌特征难以快速获取的问题,本文提出了一种海洋浮游生物三维形貌快速重建的方法。基于离轴菲涅尔数字全息显微系统,通过改进相位恢复方法预消除相位畸变,直接得到正确的相位信息,进而对浮游生物三维形貌重建。该方法不需要进行后期复杂的相位补偿计算,就可以对浮游生物三维形貌进行快速重建,有利于对动态、微小尺寸的浮游生物进行实时探测及分析。论文对青岛近海岸浮游生物桡足类和夜光虫进行了三维形貌重建,分辨率可达到3.5μm。实验结果为离轴菲涅尔数字全息显微系统用于海洋浮游生物原位、实时探测的可行性提供了依据。 相似文献
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多波束测深是一种广泛使用的水下地形探测方式。当前多波束数据处理技术日臻完善,但是多波束条带间自动匹配仍存在较多问题。针对水下复杂环境、多波束自动匹配效果不佳的问题,采用点云直方图 (point feature histograms,PFH)自动匹配算法,对条带点云进行自动匹配。因直方图所在的高维超空间为特征描述提供一类量化信息,对点云对应曲面的多维姿态具有鲁棒性和适用性。因此,在多波束自动匹配算法中采用PFH算法。实验数据由6205侧扫多波束测深系统获取,并对实验数据采用随机抽样一致算法(random sample consensus,RANSAC)进行定性定量分析,验证本文算法的优势,并分析相关不足。 相似文献
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无人化、智能化的目标探测与跟踪是未来水下探测的必然趋势。针对水下移动小目标,通过固定位置的声呐接收的角度与距离二维信息,提出了一套自动跟踪方法。首先,对图像声呐进行恒虚警处理, 同时引入时域参量,通过在门限计算中增加之前时间的权重,抑制位置恒定的静态强背景干扰。之后,基于空间上目标的连续运动,提出了小目标的自动跟踪算法。湖试数据实验处理表明：该方法能有效抑制干扰, 实现水下小目标的自动探测跟踪。 相似文献
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半潜平台在复杂海洋环境作用下,会发生不规则的六自由度运动响应。这种平台运动的不规则性和随机性对平台作业、栈桥控制以及直升机起落等造成极大的不确定和未知风险。因此,在极短期内准确快速预报平台运动响应对深海浮式平台作业和设备安全具有重要的实际意义。然而目前针对浮式平台运动响应的计算主要是基于势流理论,对确定波浪激励下的平台一阶运动和二阶慢漂运动进行求解,计算的时效性不能满足实际需求。此外,还需要对入射波浪时历进行准确预报,导致平台运动响应准确计算更加困难。针对上述难题,提出了基于EMD-LSTM模型进行平台运动极短期预报的方法。该方法以半潜平台模型试验数据为研究对象,首先对平台运动响应的时间序列进行预处理,接着采用经验模态分解算法(EMD)将时间序列分解成相对平稳的分量,再利用长短期记忆(LSTM)神经网络可以处理复杂非线性长时间序列的优点,对时间序列进行训练预测,最后进行仿真,同时与传统LSTM模型与EMD-BP模型进行对比,仿真结果表明基于EMD-LSTM模型的平台极短期预报方法精度较高,该方法是可行的,具有工程应用的实际意义。 相似文献
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紧凑型地波雷达是专属经济区内海上船只目标监测预警的重要手段。由于其发射功率低、目标回波信噪比低,在对海上船只目标检测过程中较低的检测概率极易导致目标漏检,采用序贯类方法难以及时起始航迹。对此,本文通过分析杂波和目标的地理位置以及径向速度随时间变化的特点,提出了一种基于多帧聚类的紧凑型地波雷达海上目标航迹起始方法。该方法利用目标和杂波在连续多帧内运动特征的差异,在具有噪声的基于密度的空间聚类算法（Density-Based Spatial Clustering of Applications with Noise, DBSCAN）求解聚类ε邻域的过程中增加运动特征约束,将各船只目标在多帧内的点迹聚类为不同的簇,实现海上船只目标点迹与杂波点的区分,将簇内点迹按时间顺序顺次连接得到起始航迹。利用仿真与实测紧凑型地波雷达数据开展了航迹起始实验,结果表明,与逻辑法相比,本文方法得到的航迹起始时间平均提前了5.95 min,丢点率平均降低了12.68%,解决了海上弱目标航迹起始时间滞后的问题,适用于杂波区目标与雷达远端船只目标的航迹起始。 相似文献
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The broad scope of this study is to investigate whether the flow induced stimulation of naturally occurring luminescent plankton can be effectively utilized as a method of flow visualization in the field. The primary goal is to determine the nature of flow around a moving dolphin based on the luminescent response of in situ plankton to hydrodynamic stimulation 相似文献
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Wimalasiri Hewa Bhashithage Udeshika Gangani Manike Jinadasa Sinhalage Udaya Priyantha Dissanayake Dadigamuwage Chamari Tathsaramala Wijesekara Hemantha W. Weidemann Alan D. 《Ocean Science Journal》2020,55(2):321-340
Marine bioluminescence is a unique phenomenon and widely studied around the world. However, information on bioluminescence is scarce in the Indian ocean. This study was carried out to understand the spatial and temporal variations in planktonic bioluminescence off the south coast and the Puttalm Lagoon of Sri Lanka. Planktonic bioluminescence intensity, zooplankton samples, water samples and oceanographic data were collected from sampling sites from January to December 2016 in three month intervals. Time series data were collected at a fixed sampling station, off the south coast of Sri Lanka, in order to understand the variation of bioluminescence intensity throughout the night and with respect to monsoon winds. Bioluminescence intensity was measured using the recoverable bathyphotometer and zooplankton samples were collected using WP-2 net with a 180 μm mesh size plankton net. The results revealed that most of the bioluminescence intensity peaks in the ocean were concentrated in the mixed layer depth zone. Bioluminescence and Chlorophyll profiles indicate the presence of both heterotrophic and autotrophic planktonic bioluminescence. Fixed station analysis showed variations in planktonic bioluminescence throughout the night and with respect to monsoon winds. Twenty two surface bioluminescent zooplankton species belonging to 15 families and 4 phyla were identified during this study. Variations in planktonic bioluminescence with respect to time and sampling locations were evident. The current study yielded encouraging results that should lead to further identification of planktonic distribution near Sri Lanka and key bioluminescent zooplankton in the region.
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A method that can monitor the density of zooplankton at an adequate spatio-temporal resolution is desired in oceanic ecosystem research. To address this need, we have developed a submersible microscope equipped with a noninterlace CCD camera. The target plankton for this microscope includes Copepoda, Ploima, and Ciliata, which are dominant species in the coastal waters around Japan. In addition, the requirements of systems for underwater imaging of zooplankton are discussed. The key issues investigated for their possible influence on system performance are lens selection, camera selection, and method of illumination. Higher order local autocorrelational (HLAC) masks are used to extract features from images. Combining these features with multivariate analysis, which is a two-step feature extraction method, results in a powerful tool for extracting general information from images. In our procedures, a set of these features provides a 33-dimensional vector. To identify and count zooplankton, canonical correlation analysis and discrimination analysis are performed. This allows zooplankton to be counted and classified into taxonomic units. Another canonical correlation analysis was made for the sizing of the plankton. Proof of the principle experiment is obtained with images of both preserved and living Copepoda 相似文献
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《Deep Sea Research Part I: Oceanographic Research Papers》1999,46(9):1615-1632
Visual observations were made in September 1997 during the 39 cruise of R/V “Akademik Mstislav Keldysh” with 2 deep-sea manned submersibles “Mir” aboard. During 4 dives the following plankton countings were made: 3 vertical throughout the water column during the day, 2 vertical in the upper 1000 m at night, and 1 oblique in the plume area during the day. Biomass profiles are represented for each dive for all abundant animal groups: copepods, euphausiids+decapods+mysids, chaetognaths, medusae, ctenophores, siphonophores, cyclothones, myctophides, radiolarians, and the total zooplankton. Plankton distribution shows 2 aggregations, one within the main pycnocline and the other near the plume; Gelatinous animals and radiolarians dominate in both aggregations by biomass and make a significant contribution to the plankton biomass throughout the water column. Oblique counting indicates the presence of aggregations of animals near the upper and lower borders of the plume and biomass depletion within the plume core. 相似文献
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搭建了感应读出方式紫外光子计数成像系统,详细介绍了该系统的组成、工作原理和分辨率性能测试.紫外光经过减光和滤光后入射微通道板,产生的光电子在微通道板内倍增后形成电子云,由呈高阻特性的半导体Ge薄膜收集后,通过电荷耦合感应到Ge膜衬底背面的位敏阳极.阳极输出的信号经过电荷灵敏前置放大器、整形放大器后由计算机进行数据采集和处理,最后得到不同位置的光子计数图像.通过分辨率板,测得了该系统分辨率为150 μm,并通过对比试验和分布式RC网络理论模型分析了Ge膜电阻及其衬底厚度对系统性能的影响.该系统在生物超微 相似文献
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为达到在水陆边界模糊条件下自动提取淤泥质海岸水边线的目的,试验了一种基于样条二进小波àtrous小波变换和自动阈值获取相结合的方法,基于高分影像自动提取水边线。同时将Sobel算子,Log算子,Canny算子提取的水边线结果和本方法提取的水边线结果进行定性和定量比较,结果表明,本方法可以有效去除水陆边界模糊条件下高分影像中的噪声,快速自动地提取水边线。从方法学上解决水陆边界模糊条件下的水边线自动提取困难的难题,为进一步确定海岸线奠定坚实基础,大量节省人力、物力和财力。 相似文献
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实现高精度的定位导航是深海采矿车完成海底工作任务的基础条件。在采矿车行进过程中,声呐设备生成的图像信息能够反映海底场景的变化,从而体现采矿车本身的运动,由此建立了一种声呐图像里程计,并将其与轮式里程计和USBL测量数据相结合提出了一种深海采矿车组合定位导航算法。首先对多波束前视声呐图像进行预处理,然后使用Canny算法进行特征检测并对特征点云进行配准,再结合声呐成像原理构建了声呐图像里程计运动模型,最后通过轮式里程计运动模型推导预测方程、声呐图像里程计运动模型和USBL测量数据推导更新方程,利用EKF（extended Kalman filter）算法实现基于多传感器融合的定位与姿态估计。海试数据验证了该组合定位算法能实现轮式里程计、声呐里程计和超短基线在速度、位置、艏向角估计、定位速率的精度互补,具有一定的有效性和精确性,该算法为深海采矿车的定位与导航算法研发提供了参考。 相似文献
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This paper applies computer vision techniques to underwater video images of bioluminescent biota for quantifying, tracking, and identification. Active contour models are adapted for computerized image segmentation, labeling, tracking, and mapping of the bioluminescent plankton recorded by low-light-level video techniques. The system automatically identifies luminous events and extracts features such as duration, size, and coordinates of the point of impact, and uses this information to taxonomically classify the plankton species. This automatic classification can aid oceanographic researchers in characterizing the in situ spatial and temporal relationships of these organisms in their underwater environment. Experiments with real oceanographic data are reported. The results indicate that the approach yields performance comparable to human expert level capability. Furthermore, because the described technique has the potential to rapidly process vast quantities of video data, it may prove valuable for other similar applications 相似文献