- published: 10 Jul 2015
- views: 101
Tracking with single target
This video demonstrates single target tracking using a 24 node RF sensor network.
Target tracking with the proposed model for tracking. A 9-gaze template is chosen in order to model the appearance and the shape of the target (i.e., a hockey player). The learned policy converges to the gaze G4. The tracker is not hijacked by the other similar players.
Target tracking with the proposed model for tracking. A 3-gaze template is chosen in order to model the appearance and the shape of the target (i.e., a pedestrian). The learned policy converges to the first gaze, corresponding to the upper part of the human body.
The video compares a monocular SLAM system running with and without object detection in a spit-screen view. The system without the object detection looses track due to insufficient features, and at this point the video is slowed down to highlight this. The system with the object detection continues and at the end of the video it has successfully detected all five objects and accurately localized them in the world. http://www.robots.ox.ac.uk/~bob
In this simulation, we perform single target tracking. A measurement is received every 11 time steps. With the results shown in the left panel, we have trained the learner over 2000 time steps. The results shown in the right panel do not benefit from learning. Both panels use a gated Kalman filter as the tracker. The current state estimate is shown in red. Measurements at the current time step are shown in green. Measurements from the past 25 time steps are shown in blue.
The video demonstrates a stable head tracking system that can run at 25fps on 1920x1080 video using a standard desktop computer. The system is capable of obtaining stable head images and is robust to temporary occlusions. For more information, see the following page: http://www.robots.ox.ac.uk/ActiveVision/Publications/benfold_reid_cvpr2011/benfold_reid_cvpr2011.html
The video shows a real-time system capable of segmenting multiple 3D objects and tracking their pose using a single RGB camera, based on prior shape knowledge. The system uses twist-coordinates for pose parametrization and a pixel-wise second-order optimization approach resulting in very robust tracking, especially in cases of fast motion and scale changes. The implementation runs at about 50–100 Hz on a commodity laptop when tracking a single object without relying on GPGPU computations.
The last one I uploaded was just a single shot going through the screen with emeeks image. A user said it should have done more than a single shot, so here it is again with rapid firing.... while tracking a small target.
TrackingPoint is an Austin, Texas-based applied technology company that created the first precision guided firearm (PGF), a long-range rifle system. LEARN HOW TO GET YOUR FEDERAL FIREARMS LICENCE CLICK HERE http://13e4933lo3ir8kba07mdg-6ixz.hop.clickbank.net/ TrackingPoint was formed by CEO John McHale in February 2011. The first PGF prototype was created in March 2011. The company officially launched a publicly available product in January 2013. TrackingPoint's precision guided firearms system uses several component technologies: Networked Tracking Scope: The core engine that tracks the target, calculates range and the ballistic solution, and works in concert with the shooter and guided trigger to release the shot. Barrel Reference System: A fixed reference point that ena...
A single vehicle is tracked by an airborne camera. The target is identified by its color distribution, and a bounding box surrounds the estimated position of the target in the image. The corners of the bounding box are used as feature points in the tracking algorithm, which regulates the sample mean and variance of the points in the image to keep the target in view.
This video demonstrates the target tracking capability of the stereo camera system developed by NNMREC for Turbine Monitoring. Images of a plastic orca were collected at 2 Hz for 30 seconds and processed to measure the targets location in 3 dimensional space and the target length.
Found this video useful? $1 PayPal Donations are very much appreciated, thank you. https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=X24GRDPJ4PZHW&lc=CA&item_name=OpenCV%20Tutorials¤cy_code=CAD&bn=PP%2dDonationsBF%3abtn_donateCC_LG%2egif%3aNonHosted For tutoring rates and business inquiries, please email firstname.lastname@example.org In this tutorial we will look at real-time object tracking using the method of sequential images. This allows us to track objects without the use of colour filtering. We code in C++ using Visual Studio 2010. Start by downloading the following zip file: https://www.dropbox.com/s/qhkwml7cu75lar2/motionTrackingTutorial.zip?dl=0 If you got stuck anywhere in this tutorial you can download the final source code from here: https://www.dropbox.com/s/67g...