共查询到18条相似文献,搜索用时 149 毫秒
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现有行为识别方法在未能持续覆盖造成视频监控盲区所引起行为数据缺失的情况,难以有效实施特征分析、行为分类补全,无法准确识别出智能体完整的行为动作序列.为此,本文提出一种基于深度学习和智能规划的行为识别方法.首先,利用深度残差网络对图像进行分类训练,然后使用递归神经网络对图像特征进行提取深度信息以增强分类效果;其次,运用智能规划的STRIPS (Stanford Research Institute Problem Solver)模型,将深度学习提取的图像特征命题信息转化为规划领域的模型描述文档,并使用前向状态空间搜索规划器推导出完整的行为动作序列.在HMDB51等行为识别公共数据集中,本方法与生成式对抗网络、深度卷积逆向图网络、深度信念网络、支持向量机等同类先进方法相比展现出更好的性能. 相似文献
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随着信息化进程的深入和互联网的迅速发展,网络安全问题日渐突出。文章基于战术规划识别思想,构建了一个对敌意攻击的识别与应对系统模型。对获取的信息进行处理后,将其形式化为待识别的动作或者状态,通过匹配,生成假设,假设排序,动态跟踪预测,进行有效的应对,从而保障信息安全。 相似文献
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基于判定问答系统当前问题是否是话题的一个部分以及正确地理解自然语言,提出了基于规划知识图的识别方法,结合问句的语境分析处理问题。给出了一个带有智能规划和识别句子完整性的系统模型。利用规划库将句子缺省信息和隐含信息表示完整,再结合句子语境检索。得出了利用规划知识图可以正确的理解用户意图,结合语境分析用户当前的动作可以提高理解的准确率,从而提高用户对系统的满意度。 相似文献
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在智能制造环境中,基于动作识别的工作流识别方法难以定位出视频中工作流活动的开始和结束时间.为了从视频中对工作流中的活动进行时序定位,文中对R-C3D网络模型进行改进并提出了一种基于时序行为检测的工作流识别方法.在文中所提出的工作流识别方法中,采用一种随机稀疏采样策略来减少相邻视频帧的冗余,并使用Res3D网络来提取视频... 相似文献
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战术航空侦察航路规划评价模型 总被引:1,自引:0,他引:1
介绍了进行战术航空侦察航路规划需要考虑的各个因素,从影响战术航空侦察任务的三个方面(战术生存性、飞行约束性、任务有效性)着手,建立了基于任务要求的侦察航路评价模型,解决了战术航空侦察航路规划中航路优劣的评价问题. 相似文献
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认知无线电技术具有智能电磁频谱感知、干扰避免和动态频谱接入的能力,因此利用认知无线电技术可以提升战术网络的性能.由于战术作战的复杂性,需要建立适用于战术任务的认知无线电架构.首先分析了战术通信的特点和认知无线电技术在战术网络中的运用,以及目前国外战术认知无线网络的建设情况.结合战术通信网络移动性高、电磁对抗复杂的特点,利用对抗环境下的战术网络结构和模型,提出了分层的战术认知无线电网络结构以及面向作战任务的网络管理方法,形成拓扑结构分层次、管理运行分阶段的网络架构.该网络架构均衡考虑了网络的灵活性和稳定性,适用于动态变化的战术网络,为认知无线电在战术通信中的技术应用和网络设计提供了参考. 相似文献
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针对5G业务特点,结合现存站址资源、4G网络大数据和地图场景识别技术,本文提出了一种面向5G业务需求的智能规划方法。基于4G MR覆盖,指导5G精确规划,利用基于遗传迭代寻优实现5G智能预规划选站方案,通过多维度规划价值评估和性能预测,在5G建设初期阶段,为5G无线网络的智能规划方法提供更多思路。 相似文献
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Fabry J.M. Lupinetti A.A. 《Proceedings of the IEEE. Institute of Electrical and Electronics Engineers》1989,77(11):1762-1765
The authors describe how the application of artificial intelligence technologies to ATC can improve the training of individuals who plan strategic actions, as well as making it possible to interface and cooperate with geographically distributed individuals who plan tactical actions. They also show how such training can affect concerns as diverse as safety, capacity, resource limitations, and traffic system efficiency simultaneously in a real-time environment. By focusing on the learning aspect of artificial intelligence, new dimensions are added to ATC simulation for training. The authors propose the construction of a simulation-based training device, called an intelligent adaptive trainer. This device would be used to teach controllers to reconcile conflicts and simultaneously to build operational confidence within a cooperative decision-making environment. An approach for training controllers to deal with the data discontinuities that frequently occur between levels of planning and operations is discussed 相似文献
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通过分析弹道规划,将多Agent思想应用于弹道规划算法,得到基于多Agent的弹道规划器(MATGP)模型,从而使MATGP在速度上较以前的弹道规划有很大的提高。深入讨论了MATGP的扩张过程、解搜索过程。多Agent技术在智能规划中具有广阔的应用前景。 相似文献
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Human action recognition plays an important role in modern intelligent systems, such as human–computer interaction (HCI), sport analysis, and somatosensory game. Compared with conventional 2-D based human action analysis, using Kinect sensor can obtain depth information of human action, which is significant for human action recognition. In this paper, we propose a joint angle sequence model for recognizing human actions, where depth images are acquired by using Kinect sensor. We design an improved DTW method to improve the matching accuracy. Comprehensive experiments show the effectiveness and robustness of our proposed method. 相似文献
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Hai-wei Wang Xue-cai Yu Hou-bing Song Zhi-han Lu Jaime Lloret Feng You 《Mobile Networks and Applications》2018,23(5):1165-1178
Autonomous vehicle guidance and trajectory planning is one of the key technologies in the autonomous control system for intelligent vehicles. Firstly, the target pursuit model for intelligent vehicles was established and described in this text. Then, the research work for global motion planning was carried out based on Stackelberg Differential Game Theory, and the global optimal solution was obtained by using the survival type differential game. Finally, to overcome errors, we use a polynomial method to achieve the smooth motion planning. So, based on Terminal Sliding Mode method, the Active Front Steering controller design was used to calculate the desired active wheel angle for intelligent vehicle path tracking. The simulation and experiment results demonstrate the feasibility and effectiveness of this method for intelligent vehicles’ path planning and tracking. 相似文献