- published: 22 Sep 2016
- views: 5491
We present an object-tracking framework that fuses point cloud information from an RGB-D camera with tactile information from a GelSight contact sensor, by treating the dense contact geometry information from the GelSight sensor as an additional point cloud. Our implementation is capable of tracking objects in real time. This video is paired with a paper, available at http://groups.csail.mit.edu/locomotion/pubs.shtml.
Reliable scene analysis, under varying conditions, is an essential task in nearly any assistance or autonomous system application, and advanced driver assistance systems (ADAS) are no exception. ADAS commonly involve adaptive cruise control, collision avoidance, lane change assistance, traffic sign recognition, and parking assistance with the ultimate goal of producing a fully autonomous vehicle. This video addresses detection and tracking of moving objects within the context of ADAS. We use a multisensor setup consisting of a radar and a stereo camera mounted on top of a vehicle. We propose to model the sensors uncertainty in polar coordinates on Lie Groups and perform the objects state filtering on Lie groups, specifically, on the product of two special Euclidean groups, i.e., SE(2)xSE(2...
Method for automatically locating and tracking groups of people in a video.
Interactive surfaces and related tangible user interfaces often involve everyday objects that are identified, tracked, and augmented with digital information. Traditional approaches for recognizing these objects typically rely on complex pattern recognition techniques, or the addition of active electronics or fiducials that alter the visual qualities of those objects, making them less practical for real-world use. Radio Frequency Identification (RFID) technology provides an unobtrusive method of sensing the presence of and identifying tagged nearby objects but has no inherent means of determining the position of tagged objects. Computer vision, on the other hand, is an established approach to track objects with a camera. While shapes and movement on an interactive surface can be determined...
Creating Objects Groups on a CISCO router.
This session will show how to track changes to group policy settings. Determine who made the change and when the change was made. Track when the changes are replicated to your systems.
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Achieving tack sharp focus is hard enough on subjects that are standing still. In this episode I discuss how I go about tracking fast moving objects and give examples from a recent NASCAR Race I photographed. Products seen in this video: Sony a7 II: http://goo.gl/p0ZxiX Sony FE 70-200mm F4 lens: http://goo.gl/xGbNMp Sony Battery Grip: GoPro Hero 4 Black: Peak Design Wrist Strap: Learn how to shoot in manual mode on your camera with my Free course Ditch Auto: Start Shooting in Manual: https://www.udemy.com/ditch-auto-start-shooting-in-manual Get more content on our website: http://ditchauto.com Instagram: http://instagram.com/ditch_auto Twitter: http://twitter.com/ditchauto Facebook Group: http://facebook.com/groups/ditchauto
In this VideoFort Tutorial VideoFort Colin teaches us how to use Adobe Premiere Pro to Mask Track. This will allow you to blur face, blur license plates, or even sharpen or color objects. Instead of having to key frame a mask and follow an object, you are able to tell Adobe Premiere Pro what needs to be tracked and automatically follow object. This will save you time and allow you to make tracks much faster.
Implement particle filtering and kalman filtering to track six football players.
This video shows the results of tracking multiple persons moving in complex trajectories undergoing occlusions.
Server 2016 And 2012 R2 - File And Folder Access Auditing And Monitoring With many users in a server environment and with a lot of data that needs to be secured and not accessed by unauthorized people. Also, in the fight against cyber theft we also need to see our regular user's file and folder access patterns. File and folder auditing is the way - it is a two step process that uses group policy and then file security settings. For more visit: https://www.windows10.ninja https://www.servers2016.com Transcript (machine generated so it contains errors) A very good day to you in this video, let's have a look at how to audit access to files and folders and then how to look at the vans and maybe even filter using a little bit of an advanced system towards the the simple thing is it's into...
how to group objects in cinema 4d
ObjectTracker is a software to track multiple moving objects in a video scene using particle filters. Using a running average segmentation, moving objects can be segmented robustly and being tracked by individual particle filters for each tracked object. If you would like to find out more, simply visit http://studios.tinytall.de
To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, 45, KAMARAJ SALAI, THATTANCHAVADY, PUDUCHERRY-9 Landmark: Opposite to Thattanchavady Industrial Estate, Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: firstname.lastname@example.org, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com Mining Group Movement Patterns for Tracking Moving Objects Efficiently Existing object tracking applications focus on finding the moving patterns of a single object or all objects. In contrast, we propose a distributed mining algorithm that identifies a group of objects with similar movement patterns. This information is important in some biological research domains, such as the study of animals' social behavior and wildlife migration. The proposed algorithm compri...
We consider the problem of tracking multiple interacting objects in 3D, using RGBD input and by considering a hypothesize-and-test approach. Due to their interaction, objects to be tracked are expected to occlude each other in the field of view of the camera observing them. A naive approach would be to employ a Set of Independent Trackers (SIT) and to assign one tracker to each object. This approach scales well with the number of objects but fails as occlusions become stronger due to their disjoint consideration. The solution representing the current state of the art employs a single Joint Tracker (JT) that accounts for all objects simultaneously. This directly resolves ambiguities due to occlusions but has a computational complexity that grows geometrically with the number of tracked obje...
Learn how to put together a Real Time Object Detection app by using one of the newest libraries announced in this year's WWDC event. The combination of CPU and GPU allows for maximum efficiency in using inference technology from Machine Learning which enables us to create today's application. SqueezeNet and Resnet50 models can downloaded near the bottom at: https://developer.apple.com/machine-learning/ More detailed lessons on Showing the Camera: https://www.letsbuildthatapp.com/course_video?id=1252 Instagram Firebase Course https://www.letsbuildthatapp.com/course/instagram-firebase Facebook Group https://www.facebook.com/groups/1240636442694543/ iOS Basic Training Course https://www.letsbuildthatapp.com/basic-training Completed Source Code https://www.letsbuildthatapp.com/course_...
In this 60 second tutorial, you will learn how to use precomps to group objects in After Effects. Be sure to SUBSCRIBE because there will be a new tutorial every week. Follow me on Twitter @RiverCityGraphx Like us on on facebook: http://on.fb.me/e8Z6Ts Suggest tutorials at http://www.rivercitygraphix.com For project files, help forums, and more check out the website at http://www.rivercitygraphix.com For business related inquires contact us at email@example.com
This video shows people tracking results obtained on the RGB-D People Dataset (http://www.informatik.uni-freiburg.de/~spinello/RGBD-dataset.html) with the algorithms described in "M. Munaro, F. Basso and E. Menegatti. Tracking people within groups with RGB-D data. IROS 2012". This work has been developed at the IAS-Lab of the University of Padova (http://robotics.dei.unipd.it).
Quick Select is a powerful command that can be used to find specific objects (or groups of objects) based on their properties. This underused command has been in AutoCAD for many releases and is certain to save you time while editing! For more CAD tips, visit http://www.cadalyst.com.