Salient video cube guided nighttime vehicle braking event detection

In nighttime driving brake lights are particularly important because they offer a warning signal to prevent potential collisions. In this work, we propose a novel visual-based approach for nighttime brake light detection using three-dimensional Nakagami imaging to analyze tail lights of vehicles in front. Rather than heuristic features, such as symmetry of taillights and appearance of the third brake light, the proposed approach extracts invariant features by modeling the scattering of brake lights, thus allowing detection to proceed in a part-based manner. Experiments from extensive datasets show that the proposed system can effectively detect vehicle braking under different lighting and traffic conditions, making it a realistic option for real-world applications.     

Robust object tracking based on adaptive templates matching via the fusion of multiple features

Moving object tracking under complex scenes remains to be a challenging problem because the appearance of a target object can be drastically changed due to several factors, such as occlusions, illumination, pose, scale change and deformation. This study proposes an adaptive multi–feature fusion strategy, in which the target appearance is modeled based on timed motion history image with HSV color histogram features and edge orientation histogram features. The variances based on the similarities between the candidate patches and the target templates are used for adaptively adjusting the weight of each feature. Double templates matching, including online and offline template matching, is adopted to locate the target object in the next frame. Experimental evaluations on challenging sequences demonstrate the accuracy and robustness of the proposed algorithm in comparison with several state-of-the-art algorithms.     

New privilege-based visual cryptography with arbitrary privilege levels

Recently, Hou et al. introduced a novel (2, n) privilege-based visual cryptography scheme (PVCS) with various privilege levels of shadow images. In this scheme, a shadow with a higher privilege contributes more recovered information, while a lower privileged shadow has the less recovery capability. Moreover, the visual quality of stacked result depends on the total sum of privilege levels for all involved shadows in reconstruction. Unfortunately, the PVC scheme has the inconsistency of the contrast of recovered image and the sum of privilege levels. Accordingly, an enhanced Hou et al.’s (2, n)-PVC scheme (EPVCS) is proposed to solve this inconsistency problem. However, the EPVCS is not a general solution to implement all PVCSs with arbitrary privilege levels, and it also has the unequal whiteness of shadows. In this paper, we first extend Hou et al.’s (2, n)-EPVCS with a correct privilege levels achieving the consistency of the contrast and the sum of privilege levels. Then we construct a (2, n)-PVCS to allow arbitrary privilege levels and provide the equal whiteness for each shadow.     

基于VC的上位机与PLC间的OPC通讯

主要通过Visual C++实现了上位机与下位机之间的OPC通讯,概述了OPC com组件的功能及其应用。     

基于ARM的以太网通信

本文基于STM32F103ZET6,通过SPI控制以太网控制器ENC28J60,实现数据的发送和接收。上位机利用Visual Studio编写,实现通信连接、数据交换和显示。当上位机与ARM建立起连接后,ARM利用DS18B20温度传感器采集现场温度并实时传输到上位机,上位机通过曲线图将温度实时显示出来,实现对现场温度的监控。     

Defecting From the Gutenberg Legacy: Employing Images to Test Knowledge Gaps

Education‐based knowledge gaps are well‐documented across countries, media platforms, and content. Without exception, knowledge is measured through words not images. Given the centrality of sight in the natural history of Homo sapiens, the extraordinary visual acuity of humans, and the proliferation of screen‐based visual media environments in contemporary life, an experiment was conducted to test the knowledge gap visually. Participants watched 8 audiovisual news stories. Simple recognition of story details and comprehension of that information were tested in verbal and visual modalities. Results offered the first confirmation of the knowledge gap in visual terms. Yet, gaps were significantly smaller employing visual than verbal measures, pointing to the need for continued efforts to develop visual measures for future memory studies.     

An infrared small target detection algorithm based on high-speed local contrast method

Small-target detection in infrared imagery with a complex background is always an important task in remote sensing fields. It is important to improve the detection capabilities such as detection rate, false alarm rate, and speed. However, current algorithms usually improve one or two of the detection capabilities while sacrificing the other. In this letter, an Infrared (IR) small target detection algorithm with two layers inspired by Human Visual System (HVS) is proposed to balance those detection capabilities. The first layer uses high speed simplified local contrast method to select significant information. And the second layer uses machine learning classifier to separate targets from background clutters. Experimental results show the proposed algorithm pursue good performance in detection rate, false alarm rate and speed simultaneously.     

利用数字光通信技术实现计算机视频信号长距离传输

介绍了如何采用数字光通信技术实现计算机视频信号的长距离传输;介绍了数字显示接口(DVI)标准的相关知识,通过项目实施解决了其中的关键技术,项目成果达到了实用化程度.     

基于VS 2008的Demo测试软件设计

Demo测试软件是基于Visual Studio 2008工具开发出的一个单文档界面程序。其主要的功能是生成一个将要在高速公路显示屏上显示的信息播放列表文件,该播放列表文件中要包含播放屏数、每屏停留时间、屏幕上显示字体的方式、速度、在屏幕上显示初始字体的位置、字体的大小、颜色以及字体间距,该功能通过“添加”、“删除”、“发送”、“列表”、“保存”5个按钮实现。     

A Novel Visual Multi-Secret Sharing Scheme Based on Folding-up Operation

The Visual multi-secret sharing （VMSS） scheme is characterized by encoding several secret images into a set of noise-like shares. Most existing VMSS meth- ods have to distort shares to embed additional secret im- ages. As a result, the quality of the decoded original secret image is degraded. This paper proposes a folding-up op- eration based VMSS scheme, which is able to encode one secret image and a group of tag images into shares. The secret image is revealed by stacking all shares, and fold- ing up each chosen share discloses the tag image. The proposed scheme encodes tag images without affecting the quality of the reconstructed secret image. The quality of the decoded secret image is equal to that of the conven- tional Visual secret sharing （VSS） scheme. The superiority of the proposed method is experimental verified.