引自:http://www.eecs.umich.edu/vision/mttproject.html Wongun Choi, Caroline Pantofaru, Silvio Savarese, "A General Framework for Tracking Multiple People from a Moving Camera", PAMI (under revision, accepted with minor revision). Wongun Choi and S…
摘要 近年来,深度学习方法在物体跟踪领域有不少成功应用,并逐渐在性能上超越传统方法.本文先对现有基于深度学习的目标跟踪算法进行了分类梳理,后续会分篇对各个算法进行详细描述. 看上方给出的3张图片,它们分别是同一个视频的第1,40,80帧.在第1帧给出一个跑步者的边框(bounding-box)之后,后续的第40帧,80帧,bounding-box依然准确圈出了同一个跑步者.以上展示的其实就是目标跟踪(visual object tracking)的过程.目标跟踪(特指单目标跟踪)是指:给出目标在…
效果简直了,但代码架构有点坑,慢慢道来. libc++_shared.so应该是c++的库:libARWrapperNativeCaresExample.so也有对应的c++文件:那么,libARWrapper.so从哪里来?下一章节讲. ARSimpleNativeCarsActivity Java层的封装,注意ARActivity. public abstract class ARActivity extends Activity implements CameraEventListener…
视频目标跟踪问题分析         视频跟踪技术的主要目的是从复杂多变的的背景环境中准确提取相关的目标特征,准确地识别出跟踪目标,并且对目标的位置和姿态等信息精确地定位,为后续目标物体行为分析提供足够的数据.但是目前的绝大部分目标跟踪算法或多或少存在不少缺点,如:1)对目标的实时跟踪时,跟踪时间过长,目标容易丢失:2)当目标发生形变时(目标伪装.摄像平台变化导致),无法进行目标跟踪:3)当视频中目标消失(遮挡等)以后重新出现时,不能重新跟踪捕获目标,或出现混批: 4)有一些给定很少特定目标特征…
TLD算法回顾 TLD(Tracking-Learning-Detection)是英国萨里大学的一个捷克籍博士生Zdenek Kalal在其攻读博士学位期间提出的一种新的单目标长时间(long term tracking)跟踪算法.该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变.部分遮挡等问题.同时,通过一种改进的在线学习机制不断更新跟踪模块的"显著特征点"和检测模块的目标模型及相关参数,从而使得跟踪效果更加稳定.鲁棒.…
SHINA是SAP HANA Interactive Education的缩写,是一个demo应用,用于演示如何开发SAP HANA原生应用. 这个应用包含了sample数据以及HANA数据库表,view,OData服务和UI,符合SAP HANA Extended Service Advanced Programming Model,由如下几个包组成: core-db:核心数据模型 core-js: Data Generator, Purchase Order Worklist和Sales D…
@http://www-cs-faculty.stanford.edu/people/karpathy/cvpr2015papers/ CVPR 2015 papers (in nicer format than this) maintained by @karpathy NEW: This year I also embedded the (1,2-gram) tfidf vectors of all papers with t-sne and placed them in an interf…
From:  http://www.pamitc.org/cvpr15/program.php Official Program for CVPR 2015 Monday, June 8 8:30am-8:40am Ballrooms A,B,C Rooms 302,304,306 Opening Remarks from Conference Chairs The opening remarks will be made from Ballrooms A,B,C, but a live vid…
Summary on Visual Tracking: Paper List, Benchmarks and Top Groups 2018-07-26 10:32:15 This blog is copied from: https://github.com/foolwood/benchmark_results  Thanks for the careful list of visual tracking provided by foolwood  Visual Trackers CVPR20…
License Manager和Target Manager License Manager 对于每一个用Vuforia开发的AR程序来说,都有一个唯一的license key,在Unity中必须首先要在ARCamera中输入这个唯一的key之后,才能使用Vuforia进行识别.在Vuforia的开发者平台上,License Manager就是一个用来提供创建和管理App license的工具. License类型 进入Vuforia官网,进入开发者平台下的Develop页面,就能进入Licen…
51全志R58平台Android4.4下Camera的HAL层修改 2018/11/7 15:20 版本:V1.0 开发板:SC5806 1.系统编译: (略) 2.全志R58平台Android4.4下Camera的HAL层在这个目录: /home/wwt/r58_android_v4.4/android/device/softwinner/octopus-common/hardware/camera 可以使用mm编译: BuildImg 0 Dragon execute image.cfg S…
1.下载https://trackingjs.com/ 2.运行例子 纳总一下 发现效果 里面的代码为 <!doctype html><html><head> <meta charset="utf-8"> <title>tracking.js - face hello world</title> <link rel="stylesheet" href="assets/demo.c…
Camera 先看一下抽象层的主要流程: 首先启动一个守护进程 int qcamsvr_start(void)( qcamsvr.c) { 1. server_fd = open(server_dev_name, O_RDWR);//打开服务对应的文件节点 2. if (mctl_load_comps()) //加载所有需要的组件 3. rc = qcamsvr_load_gesture_lib(&gesture_info.gesture_lib);//加载手势库 4. ez_server_so…
A target specifies a product to build and contains the instructions for building the product from a set of files in a project or workspace. A target defines a single product; it organizes the inputs into the build system—the source files and instruct…
创建并编译Xcode工程时,有几个常用概念想在这里记一下. Xcode Target: 定义:A target defines a single product; .... 理解:输出文件,等同于VS的Target.比如你创建一个Xcode Application工程,它的默认输出必然是一个App. Xcode Project: 定义:An Xcode project is a repository for all the files, resources, and information re…
一.RAC 全局等待事件说明 在RAC环境中,和全局调整缓存相关的最常见的等待事件是global cache cr request,global cache busy和equeue. 当一个进程访问需要一个或者多个块时,Oracle会首先检查自己的Cache是否存在该块,如果发现没有,就会先通过global cache赋予这些块共享访问的权限,然后再访问.假如,通过global cache发现这些块已经在另一个实例的Cache里面,那么这些块就会通过Cache Fusion,在节点之间直接传递,…
基于在线学习的单目标跟踪算法调研 摘要 视觉跟踪在计算机视觉和机器人学领域是一个流行和有挑战的话题.由于多种场景下出现的目标外貌和复杂环境变量的改变,先进的跟踪框架就有必要采用在线学习的原理.本论文简要的介绍了一下关于视觉跟踪的挑战和应用,通过分类集中讨论基于在线学习的现代跟踪方法.我们提供了对每种分类中的代表性方法的详细描述,同时检查它们的优点和缺点.而且,一些最具代表性的算法被实现,来提供定量的参考.最后,我们列出了几个关于视觉跟踪研究的未来发展趋势. 1    引言 <未翻译> 2 生成…
本文转载自:http://blog.csdn.net/gabbzang/article/details/19906687 http://www.01yun.com/mobile_development/20130327/283166.html Qualcomm 8X camera daemon进程浅析 Camera 先看一下抽象层的主要流程: 首先启动一个守护进程 Main()(camdaemon.c) int qcamsvr_start(void)( qcamsvr.c) { 1.      …
This article come from HEREARS-L1: Learning Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinci 10:30  ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojj…
CVPR2015 Papers震撼来袭! CVPR 2015的文章可以下载了,如果链接无法下载,可以在Google上通过搜索paper名字下载(友情提示:可以使用filetype:pdf命令). Going Deeper With ConvolutionsChristian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke…
http://www.cv-foundation.org/openaccess/CVPR2016.py ORAL SESSION Image Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1   Deep Compositional Captioning: Descr…
目录 Overview : Installation and Getting Started :安装并开始 User Guide :用户指南 What is Cinemachine? : 什么是Cinemachine? Cinemachine is a suite of 'smart' procedural modules which allow you to define the shot and they'll dynamically follow your direction. Setup…
CVPR2016 Paper list ORAL SESSIONImage Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1 Deep Compositional Captioning: Describing Novel Object Categories Witho…
BACKGROUND The present invention relates to video processing systems. Advances in imaging technology have led to high resolution cameras for personal use as well as professional use. Personal uses include digital cameras and camcorders that can captu…
From: https://liudongdong1.github.io/ 1. 人体存在感知 目标:检测环境中的所有人体,标记出每个人体的坐标位置:不限人体数量,适应中低空斜拍.人体轻度遮挡.截断等场景 .1. WAYV AIR WAYV AIR 智能人体存在感知雷达目前已成功应用于多个智能卫生间项目中,实现厕位的占位及人流量统计 • 检测准确率高,不管是静止.微运动还是运动人员都可以实现准确检测: • 无隐私.敏感问题,无镜头设计: • 超低功耗,辐射量仅为蓝牙十分之一,对人体安全无害: •…
      首页 视界智尚 算法技术 每日技术 来打我呀 注册     实时SLAM的未来及与深度学习的比较 The Future of Real-Time SLAM and “Deep Learning vs SLAM”   Last month’s International Conference of Computer Vision (ICCV) was full of Deep Learning techniques, but before we declare an all-out C…
Paper about Event Detection. #@author: gr #@date: 2014-03-15 #@email: forgerui@gmail.com 看一些相关的论文. 1. <Efficient Visual Event Detection using Volumetric Features> ICCV 2005 扩展2D box 特征到3D时空特征. 构建一个实时的检测器基于容积特征. 采用传统的兴趣点方法检测事件. 2. <ARMA-HMM: A New…
Relevant Readable Links Name Interesting topic Comment Edwin Chen 非参贝叶斯   徐亦达老板 Dirichlet Process 学习目标:Dirichlet Process, HDP, HDP-HMM, IBP, CRM Alex Kendall Geometry and Uncertainty in Deep Learning for Computer Vision 语义分割 colah's blog Feature Visu…
Awesome Human Pose Estimation 2018-10-08 11:02:35 Copied from: https://github.com/cbsudux/awesome-human-pose-estimation A collection of resources on Human Pose Estimation. Why awesome human pose estimation? This is a collection of papers and resource…
Most applications on Android are developed in Java, and Android provides a rich framework of classes to support this. It is, however, also possible to develop parts of an application in native C/C++ code using the Android NDK. This is intended for ac…