Thanks to Kaihua Zhang of The Hong Kong Polytechnic University for his paper: Real-Time compressive tracking on eccv 2012. Here is his introduction:
A simple and efficient tracking algorithm based on compression sensing. First, the multi-scale image features are reduced by using random moment sensing that meets the compression perception rip conditions, and then the features after dimensionality reduction
ObjectiveIn the field of computer vision CV, visual tracking is one of the important sub-problems. From my point of view, visual tracking is used on robots, on mobile devices, so why not put some tracking algorithms on the iphone to see the actual tracking effect. This is the most realistic comparison, the use of some
Integration with Bug Tracking System/problem tracking
In software development, modification depends on a bug or problem number. Users of the Bug Tracking System (problem tracker) like to associate the modification of the subversion with a specified number in the problem tracking. Therefore, many problem trackers prov
The original text continues, the book after the last. The last time we talked about Correlation Filter class tracker 's ancestor Mosse, let's see how we can refine it further. The paper to be discussed is the STC tracker published by our domestic Zhang Kaihua team on ECCV:Fast Visual Tracking via dense Spatio-temporal Context Learning. It is believed that the people who do the tracking should be more famili
Transferred from: http://blog.csdn.net/zouxy09/article/details/13358977
simplest target tracking (template matching)
I. Overview
Target tracking is an important branch in the field of computer vision. Many people have studied, and in recent years there have been many and many algorithms. Let's see the paper. But here, we also focus on the more simple algorithm to see where its advantages are. After all, so
Object Tracking Based on particle filter and Object Tracking Based on Particle Filter
First:
Rob Hess (http://web.engr.oregonstate.edu /~ Hess/) to implement this particle filter.
Starting with the code, we can understand the principles of particle filter.
According to the introduction of particle filter on Wikipedia (http://en.wikipedia.org/wiki/Particle_filter), particle filter actually has many variant
viola-jones human eye detection algorithm +meanshift tracking algorithmThis time the code is the video of the human eye part of the detection and tracking, testing using MATLAB comes with the human eye Detection ToolboxHere are some things that the MATLAB website describes this algorithm:Http://cn.mathworks.com/help/vision/examples/face-detection-and-tracking-usi
It seems that human-computer interaction is not as simple as I think, it still takes a lot of effort to lay the foundation. Then we will learn some tracking-related article algorithms.
After carefully studying the compression tracking (CT), I feel that I have a good understanding of tracking. However, after reading the results on the test set, the original CT ef
SQL tracking and tkprof usage, SQL tracking tkprof usageBrief Introduction
In oracle databases, awr is a report on the overall load and running status of the database system. However, when the system load is normal, and the client executes some actions to respond slowly, or when session execution on some terminals is slow or abnormal, session-level tracking is re
This is Kaihua Zhang published in ECCV2012 's paper, a single-target tracking algorithm based on compression sensing (compressive sensing) is proposed, which utilizes rip (which satisfies the compression perception (compressive sensing). Restricted isometry property) conditions of the Random measurement matrix (random measurement matrix) for Multiscale (multiple scale) image features (features) to reduce the dimension, The characteristics are then cla
Original: SQL Server audit feature Getting Started: Change Tracking (Tracking)IntroductionChange tracking is a lightweight solution that provides an efficient change-tracking mechanism for your application. Regular, custom change tracking and read
Worth looking at the ICCV 2017 target tracking papers are as follows:
1) crest:convolutional residual Learning for Visual tracking.
2) Learning background-aware correlation Filters for Visual tracking.
3) Need for speed:a Benchmark for higher Frame Rate Object tracking.
4) Parallel
This is a creation in
Article, where the information may have evolved or changed.
Summary
Original: Brendan Gregg ' s Blog: "Golang bcc/bpf Function Tracing", 2017 Jan
Intro: GDB, go execution Tracer, Godebug, Gctrace, Schedtrace
First, Gccgo Function counting
Second, Go GC Function counting
Iii. per-event invocations of a function
Iv. Interface Arguments
V. Function Latency
Vi. Summary
Vii. Tips: Building LLVM and Clang development tools Library
In this articl
Order tracking number and tracking the progress of the courier650) this.width=650; "Style=" margin:0 10px 0 0; "src=" http://www.mycncart.com/image/catalog/extension/3/3_1438091891_order_b.jpg "alt=" 3_1438091891_ Order_b.jpg "/>Why do you have to use express 100, love check and other interfaces to get the progress of the courier information? Why do you have to put the Magic Spell on your website? Why not g
Iker original, reproduced please indicate the source: http://blog.csdn.net/ikerpeng/article/details/39050619
Realtime and robust hand tracking from cost function learning in Depth
First, we should know what the input data is: 3D point cloud data.
3D point clouds give me this feeling.
The output is a hand-fitting model (48 sphere model ).
The 3D point cloud data here is represented by P, and each sphere is represented by SX. The center of the I-th sp
Thesis details
Gesture Recognition or hand tracking is very important in Human-Computer Interaction and has been studied for decades. However, there are still many difficulties: the hand movement is composed of a lot of complex finger activities, and at the same time, it moves quickly under a variable large perspective.
There are several methods to achieve better results, one of which uses a very complex mesh model (mesh model, I don't know how to do
Introduction Change tracking is a lightweight solution that provides an efficient change-tracking mechanism for your application. Regular, custom change tracking and read tracking data, which uses triggers, stored procedures, and user tables that record changes, etc.There is also a need to ensure consistent access and
Label:Introduction Change tracking is a lightweight solution that provides an efficient change-tracking mechanism for your application. Regular, custom change tracking and read tracking data, which uses triggers, stored procedures, and user tables that record changes, etc.There is also a need to ensure consistent acces
Tracking Learning Series original, reproduced marked source: http://blog.csdn.net/ikerpeng/article/details/40144497This article is very praise Ah! It is very necessary to learn it well, and today first record its code ideas (which are given later in the specific derivation process).First, the decision function used in this article is a function that minimizes structural risk:In this function: the previous is a loss function, the loss function of f (x)
Order tracking number and tracking the progress of the courierWhy do you have to use express 100, love check and other interfaces to get the progress of the courier information? Why do you have to put the Magic Spell on your website? Why not give your choice to your website customers? The plugin can:1. The webmaster in the background and change to manage their own cooperation of the courier company Informat
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