atc4 detection

OpenCV provides four different edge detection operators, or High-pass filters: Sobel,scharr and Laplacian operators and canny operators, the specific detection steps are as follows: image filtering : The algorithm of edge detection is based on first and second derivative of image gray value, but the derivative is usually sensitive to noise, so it is necessary to

http://blog.csdn.net/happy_stars_2016/article/details/52691255 First, lane line detection steps 1, Grayscale Grayscale key functions: Cvcvtcolorcvcvtcolor (iplimage* src, iplimage* DST, Cv_brg2gray);The last parameter is Cv_brg2gray, which indicates that the BRG picture (color picture) is converted to a grayscale picture (black and white). 2. Binary Value Image binary is to set the gray value of the pixel on the image to 0 or 255, that is, the enti

Reprinted from: http://blog.csdn.net/cv_family_z/article/details/52438372 https://www.arxiv.org/abs/1608.08021 In this paper, a variety of target detection for the problem, combined with the current technical achievements, to achieve a good result. We obtained solid results on well-known object detection benchmarks:81.8% MAP (mean average precision) on VOC2007 and 82. 5% MAP on VOC2012 (2nd place) while tak

Computer now has become a daily necessities of life, then how much do you know about computers? The following small series for you to organize some common computer hardware knowledge, quickly to learn! Computer hardware, including all the physical parts of a computer, to differentiate between the data it contains or executes and the software that provides instructions for the hardware to complete the task. Computer hardware mainly includes: chassis, motherboard, bus, power, hard disk, storage c

Hough Forest target detection is a more fashionable target detection algorithm, Juergen Gall is proposed on 2009 CVPR.Hough Forest sounds like a combination of Hough transformation +random forest, in fact, not exactly. It is more like the combination of decision forest and regression forest plus generalized Hough Transform: Each tree in the forest is not a classification tree or a regression tree, but each

motion detection (foreground detection) (i) ViBe Zouxy09@qq.com Http://blog.csdn.net/zouxy09 Because of monitoring the development of the demand, the current prospects of the research is still many, there have been many new methods and ideas. The personal understanding of the following is probably summed up as follows: Frame difference, background subtraction (GMM, CodeBook, sobs, Sacon, VIBE, W4, multi-fr

DDoS attacks are essentially time-series data, and the data characteristics of t+1 moments are strongly correlated with T-moments, so it is necessary to use HMM or CRF for detection! --and a sentence of the word segmentation algorithm CRF no difference!Note: Traditional DDoS detection is directly based on the IP data sent traffic to identify, through the hardware firewall. Big data scenarios are done for sl

The Windows Phone operating system can take actions to reduce power consumption on the device when it detects that the user or the current application is in an idle state. depending on the type of application you are creating, you may need to disable idle detection for users or applications. this topic explains how to modify the operating system's idle behavior. Important Note: This Windows Phone feature has certification requi

Source of Self Blog http://www.yingzinanfei.com/2017/02/01/moxingjiancegongjuhuizong/ Model Detection Tool for formal specification language The SMV (Symbolic model Verifier) symbol Model Detection Tool SMV is used to detect whether a finite state system satisfies a CTL formula. Its modeling mode is in modules, modules can be synchronized or asynchronous combination, module description of the basic elements

ViBe algorithm: vibe-a powerful technique for background detection and subtraction in video sequencesJudge Net: http://www2.ulg.ac.be/telecom/research/vibe/Describe:Vibe is a pixel-level video background modeling or foreground detection algorithm, the effect is better than several well-known algorithms, the hardware memory footprint is also low.Code:The algorithm executes the efficiency test program, the Wi

[OpenCV Getting Started Guide] Article 7 Line Segment Detection and Circle Detection The Section 5 contour detection in [OpenCV Getting Started Guide] and section 6 contour detection in [OpenCV Getting Started Guide] Explain the contour detection of OpenCV. This article desc

Serial number Introduction Thesis Source 0 Summary of Pedestrian detection in PAMI in 2012:Pedestrian detection an evaluation of the state of the artPiotr dollarThis article compares many of the latest Pedestrian detection algorithms.. This paper is referred to as pami2012 Pedestrian detection a