Motion detection in moving camera videos using background modeling and FlowNet

Real-time moving object detection is challenging for moving cameras due to the moving background. Many studies use homography matrix to compensate for global motion by warping the background model to the current frame. Then, the pixel difference between the current frame and the background model is used for background subtraction. Moving pixels are extracted by applying adaptive threshold and some post-processing techniques. On the other hand, deep learning-based dense optical flow can be efficient enough to extract the moving pixels, but it increases computational cost. This study proposes a method to enhance a classical background modeling method with deep learning-based dense optical flow. The main contribution of this paper is to propose a fusing algorithm for dense optical flow and background modeling approach. The background modeling methods are error-prone, especially with continuous camera movement, while the optical flow method alone may not always be efficient. Our hybrid method fuses both techniques to improve the detection accuracy. We propose a software architecture to run background modeling and dense optical flow methods in parallel processes. The proposed implementation approach significantly increases the method’s working speed, while the proposed fusion and combining strategy improve detection results. The experimental results show that the proposed method can run at high speed and has satisfying performance against the methods in the literature.     

创新实践教学模式,培养复合型人才

针对目前高校现行实践教学体制存在的弊端,在分析产生原因的基础上,提出一种科学的实践教学模式,该模式与信息与计算科学专业培养的目标以及社会发展的内在需求相结合,在信息处理和软件开发能力培养方面取得一定效果,增强了学生就业竞争力。     

高校多媒体网络教室的病毒防治

本文针对高校多媒体网络教室面临的计算机病毒、网络攻击等安全问题,首先分析了病毒的传播途径,然后探讨了计算机病毒防治的方法,从技术上和管理等方面有的放矢地采取安全防治对策,为师生创造安全的实验教学环境。     

增强式网络考试系统设计

网络考试系统是当前计算机应用的热门研究课题之一．从单一学科、简单题型、随机算法组卷的简单网络考试系统逐渐向多学科,多题型,智能组卷的增强式网络考试系统发展．通过对目标系统进行需求分析,了解其功能需求,设计一个完善的增强式网络考试系统,为最终实现该类型考试系统打下基础．     

浅谈信息化环境下计算机技术实验室的教育教学管理

深化实验室信息建设对高校创新人才的培养至关重要,计算机管理技术的运用,对构建实验室实践教育教学体系更加趋向科学化。结合多年来进行计算机实验室信息化的工作。介绍利用计算机技术进行实验室教学管理、组织实验教学的方式,希望能为高校机房实验室实践教学工作提供行之有效的方式。     

分层分类教学法在“计算机应用基础”课程中的应用

本文分析了目前计算机应用基础教学中存在的若干问题,并结合地方性高校的实际情况,针对各个问题分别提出了可行的对策,最后说明了实施的情况和取得的教学效果。     

基于特定区间承诺值证明机制改进的DAA认证方案

针对目前可信计算平台直接匿名认证(DAA)机制的不足,提出一种改进的匿名认证方案。该方案先采用CA验证示证者的EK证书,协助示证者和DAA颁布者各自生成会话密钥,使DAA颁布者能够为示证者颁发秘密的DAA证书;然后示证者用两承诺值相等协议及CFT证明协议来证明承诺值位于某个特定区间的方法,向验证者证明其平台的真实合法性。分析表明,该方案具有较高的安全性,还具备不可欺骗性、匿名性、撤消性,效率更高。     

浅谈项目全过程工程造价管理

工程造价的控制与管理是一个动态的过程，市场经济变化多端，使工程投资的确定与控制变得更为复杂，工程造价管理始终贯穿于项目全过程，既要全面又要有侧重点，项目的实施阶段是工程造价管理的重点。     

Heteroatom-doped carbon nanorods with improved electrocatalytic activity toward oxygen reduction in an acidic medium

High-performance heteroatom-doped carbon catalysts with large surface areas were prepared by pyrolyzing nanorod precursors that had been synthesized by polymerizing a mixture of aniline (An) and β-naphthalene sulfonic acid (NSA). The catalysts were characterized by scanning and transmission electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, X-ray photoelectron spectroscopy, N₂ adsorption/desorption isotherms, and elemental analysis. We intensively investigated how the catalysts’ structure and catalytic performance were affected by (i) the ratio of NSA to An and (ii) the addition of Fe. The catalysts retained their nanorod morphology after pyrolysis. The optimal NSA/An ratio was 3/2 and the optimal Fe content was 3 wt%. The catalysts showed excellent activity toward oxygen reduction in an acidic medium, with the onset potential, half-wave potential, and limiting current density values reaching 0.86, 0.73 V (vs. reversible hydrogen electrode), and 5.28 mA cm⁻², respectively. We suggest that the catalysts’ high performance may be due to the co-doping effects of nitrogen, sulfur, and iron, as well as the large surface area created by the nanorod structures.     

Imitative Collaboration: A mirror-neuron inspired mixed reality collaboration method with remote hands and local replicas

Mixed reality can overlay and display 3D digital content in the real world, convey abstract concepts to users, and promote the understanding of complex tasks. However, the abstract graphics overlaid on the physical space may cause a certain cognitive load for local users and reduce the efficiency of collaboration. To improve the efficiency of remote collaboration, we conducted an elicitation study on assembly tasks, explored the user needs for collaboration, and defined the design goals of our remote collaboration method. Inspired by the mirror-neuron mechanism, we present an imitative collaboration method that allows local users to imitate the interaction behavior of remote users to complete tasks. We also propose a series of interaction methods for remote users to select, copy, and interact with the local point clouds to facilitate the expression of collaboration intentions. Finally, the results of a user study evaluating our imitative collaboration method on assembly tasks are reported, confirming that our method improves collaboration efficiency while reducing the cognitive load of local users.