tracking

I would like to track some traffic signs from a video. I found a nice way to solve the problem here: Link My question now is: How should I handle the case of new incoming blobs? I mean for a Blob one could define a search-region, but maybe in the next frame there is also a second thing that appears? How should I handle this? from what I understand from the paper you provide, this system is already made to track several signs at a time, appearing and disappearing. See the end of §2 : the latest tracked blobs are stored in a temporary memory. Blobs in frame (t+1) are matched with those in the

Let's say I have an update such as: UPDATE [db1].[sc1].[tb1] SET c1 = LEFT(c1, LEN(c1)-1) WHERE c1 like '%:' This update is basically going to go through millions of rows and trim the colon if there is one in the c1 column. How can I track how far along in the table this has progressed? Thanks This is sql server 2008 Database queries, particularly Data Manipulation Language (DML), are atomic. That means that the INSERT/UPDATE/DELETE either successfully occurs, or it doesn't. There's no means to see what record is being processed -- to the database, they all had been changed once the COMMIT is

I'm doing some work on tracking moving objects using a ceiling mounted downward facing camera. I've got to the point where I can detect the position of the desired object in each frame. I'm looking into using a Kalman filter to track the object's position and speed through the scene and I've reached a stumbling block. I've set up my system and have all the required parts of the Kalman filter except the measurement variance. I want to be able to assign a meaningful variance to each measurement to allow the correction phase to use the new information in a sensible manner. I have several measures

i've followed the tutorial on mobile.tutsplus All runs. But: If I closed the app or turn on the device lock the tracking stops. I want to make my personal jogging tracker with some additional features so i want that the tracking goes on. I'm afraid that is only possible with a pure native App in Objective-C. Any Ideas? user1449862 Not sure about running it in background... but I ran through the same tutorial and had to turn off the sleep mode to get it to work. I am still having problems getting that tutorial to run. The first track runs perfectly, however any subsequent tracks do not run.

I've been working on a project for some time, to detect and track (moving) vehicles in video captured from UAV's, currently I am using an SVM trained on bag-of-feature representations of local features extracted from vehicle and background images. I am then using a sliding window detection approach to try and localise vehicles in the images, which I would then like to track. The problem is that this approach is far to slow and my detector isn't as reliable as I would like so I'm getting quite a few false positives. So I have been considering attempting to segment the cars from the background

Libs: OpenCV Target: Android (OpenCV4Android) I try to compute the Homography of a world plane (e.g. monitor screen) to get the camera pose, transform it and reproject the points back for tracking tasks. I'm using OpenCVs findHomography() / getPerspectiveTransform() to get the homography. The reprojection of the points using perspectiveTransform() (as explained here: http://docs.opencv.org/doc/tutorials/features2d/feature_homography/feature_homography.html ) which works pretty well. The "screenPoints" are the world coordinates of the monitor edges (using the aspect ratio and a z-value of 0)