Multi-scale traffic vehicle detection based on faster R-CNN with NAS optimization and feature enrichment

It well known that vehicle detection is an important component of the field of object detection. However, the environment of vehicle detection is particularly sophisticated in practical processes. It is compara-tively difficult to detect vehicles of various scales in traffic scene images, because the vehicles partially obscured by green belts, roadblocks or other vehicles, as well as influence of some low illumination weather. In this paper, we present a model based on Faster R-CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle targets in traffic scenes. First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted Neural Architecture Search (NAS) on the backbone network used for feature extraction of Faster R-CNN to generate the optimal cross-layer connection to extract multi-layer features more effectively. Third, we used the object Feature Enrichment that combines the multi-layer feature information and the context information of the last layer after cross-layer connection to enrich the information of vehicle targets, and improve the robustness of the model for challenging targets such as small scale and severe occlusion. In the imple-mentation of the model, K-means clustering algorithm was used to select the suitable anchor size for our dataset to improve the convergence speed of the model. Our model has been trained and tested on the UN-DETRAC dataset, and the obtained results indicate that our method has art-of-state detection performance.     

Visual-attention gabor filter based online multi-armored target tracking

The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT. Most state-of-the-art multi-object tracking (MOT) works adopt the tracking-by-detection strategy, which rely on compute-intensive sliding window or anchoring scheme in detection module and neglect the target scale variation in tracking module. In this work, we proposed a more efficient and effective spatial-temporal attention scheme to track multi-armored target in the ground battlefield. By simulating the structure of the retina, a novel visual-attention Gabor filter branch is proposed to enhance detection. By introducing temporal information, some online learned target-specific Convolutional Neural Networks (CNNs) are adopted to address occlusion. More importantly, we built a MOT dataset for armored targets, called Armored Target Tracking dataset (ATTD), based on which several comparable experiments with state-of-the-art methods are conducted. Experimental results show that the proposed method achieves outstanding tracking performance and meets the actual application requirements.     

专家信度优化的装备效能评估方法

针对不同评判专家主观因素影响装备效能评估质量问题,提出一种专家信度优化的装备效能评估方法。该方法以传统层次分析法与模糊量化模型为基础,引入专家信度量化每个专家评判信息的优劣程度,并将专家信度转化为专家权重,利用专家权重分别融合计算层次分析法的指标权重和模糊量化模型的评判结果,从而减少专家主观因素影响,增强了综合评价客观性。其有效性已在某装备效能评估中得到验证。     

基于DCT、DWT的信息二次隐藏技术的理论分析

信息传送的安全性已成为许多领域所关注的热点和难点,如何在大量的数据载体中嵌入有用的重要信息并将其安全的发送出去是一个值得研究的重要课题。应用DCT和DWT两种变换方式对信息进行二次隐藏,根据相关理论提出隐藏的算法和实现的可能过程,并对实现中可能存在的不足和改进进行了简要分析。结果表明二次隐藏作为一种深度隐藏方式理论上可以实现,在实践技术方面还需进一步完善。二次隐藏技术的发展将在网络安全方面有独特的应用前景。     

晚清军品走私及其屡禁不止之缘由

鸦片战争以后,中国国门洞开,清廷腐败无能、内陆沿海民变频起,军品走私猖獗。走私方式主要有夹带和隐藏两种;走私主体既有混迹于中国的各国洋人,也有实力雄厚的各洋行,还有中国本土的各种反清组织、商人、匪徒、官僚等。港澳地区和与之毗邻的广东地区是军品走私的重灾区,上海、天津、东北等地区也是军品走私多发之地。晚清军品走私屡禁不止,根本上缘于低效的缉私体制和列强的长期掣肘。     

未来作战中装甲机械化部队技术保障刍议

在分析高技术局部战争中装甲机械化部队技术保障特点的基础上,就技术保障准备、编组等问题进行了探讨,提出了提高战时技术保障时效性、机动性和生存能力的若干措施.     

根轨迹法解高阶代数方程 (3-5 阶方程的解)

本文采用根轨迹法解高阶代数方程。其基本思想是沿着相应的开环极点和根轨迹走向用迭代法求出部分根,从而降低方程阶次。方法本身对方程性态不提出任何要求,对重根和复根不需作专门处理,是一种比较简便而实用的方法。     

把目标威胁纳入性能指标的目标分配方法

武器系统目标分配是作战指挥中的一个重要问题。提出了把目标威胁纳入性能指标,建立在马尔可夫动态系统输入过程最优化基础上的目标分配方法     

指挥自动化信息系统安全性初探

介绍了指挥自动化系统安全性的内容,安全性的等级及实现安全性的技术。     

系统的互操作性

阐明了确保互操作性的重要性,介绍了有关互操作性的标准及互操作性的鉴别与测试,并提出了确保互操作性的几点建议。