This is how Google is spying on everything you do
Google is spying on everything you. Literally everything. If you are not protecting yourself, Google is after your personal life whether you like it or it. Google spies on you and it's not just a conspiracy theory anymore. Google’s presence is literally everywhere and it wants to play go
From playlist Decrypted Lies
Marking for missing spikes on old ties. Railroad Maintenance (Part 10/14)
Before spikes hammered into the new ties, finding operation of missing spikes on old ties which are in good condition ( not removed) is performed. Once they are found the operator marks them.
From playlist Railroad Track Maintanance
I describe How to Detect a Liar. This information was created by combining info from numerous texts and figuring out what every expert agrees on. You'll learn to spot lying in men, women, politicans, etc.
From playlist Negotiation Tutorials
Multi-target tracking binary RBM
In this experiment, the goal is to track each moving digit. The challenges are that the digits change in scale and there are strong occlusions.
From playlist tracking attention
Background Checks and Criminal Records
In this video, you’ll learn more about how to respond to background checks when you have a criminal record. https://www.gcflearnfree.org/jobsearchandnetworking/getting-a-job-with-a-criminal-record/1/ for our text-based lesson. This video includes information on: • Elements of a background
From playlist The Search
A beat is an interference pattern between two sounds of slightly different in frequencies You can download this app or a similar app on two devices and TRY it at home Enjoy!!!
From playlist Beats
Demonstrating the phenomenon of beats on the oscilloscope (slow motion)
The main point of this demonstration is to hear the beats. It may be desirable, however, for the students to also have a visual display of what is happening to cause the beats. This is the purpose of the oscilloscope.
From playlist Beats
Watching the Watchers -- How Surveillance Companies Track You Using Mobile Networks
Every day, surveillance companies attack mobile networks, attempting to track the location of mobile phone users. We will analyze, using real-life data, these surveillance companies’ tactics and show the different ways that users are tracked in the wild over 2G, 3G and 4G networks. For 5G,
From playlist Security
Understanding Digital Tracking
In this video, you’ll learn more about digital and browser tracking. Visit https://www.gcflearnfree.org/internetsafety/understanding-browser-tracking/1/ for our text-based lesson. This video includes information on: • Why websites track browsing activity • How cookies work • Avoiding cook
From playlist Internet Tips
Object Tracking | Student Competition: Computer Vision Training
In this video, you will learn how to track an object across video frames using histogram based tracking and Kalman Filters. Get files: https://bit.ly/2ZBy0q2 Explore the MATLAB and Simulink Robotics Arena: https://bit.ly/2yIgwfS -------------------------------------------------------------
From playlist Student Competition: Computer Vision Training
Understanding Sensor Fusion and Tracking, Part 5: How to Track Multiple Objects at Once
Check out the other videos in the series: Part 1 - What Is Sensor Fusion?: https://youtu.be/6qV3YjFppuc Part 2 - Fusing an Accel, Mag, and Gyro to Estimation Orientation: https://youtu.be/0rlvvYgmTvI Part 3 - Fusing a GPS and IMU to Estimate Pose: https://youtu.be/hN8dL55rP5I Part 4 - Trac
From playlist Understanding Sensor Fusion and Tracking
How to use Sensor Fusion and Multi Object Tracker
Use the Multi-object Tracker Block from the automated driving toolbox in Simulink to fuse sensor detections, track multiple objects, and visualize the results in a birds eye scope. For more information on how to use MATLAB and Simulink for sensor fusion, visit the following links: - Senso
From playlist “How To” with MATLAB and Simulink
IMT3673 Lecture Introduction to Augmented Reality (AR) and Computer Vision (CV) Setting up AR Core and OpenCV with Kotlin for Android Development.
From playlist Archive - Mobile Development
DM Searches at Colliders by Nishita Desai
PROGRAM LESS TRAVELLED PATH TO THE DARK UNIVERSE ORGANIZERS: Arka Banerjee (IISER Pune), Subinoy Das (IIA, Bangalore), Koushik Dutta (IISER, Kolkata), Raghavan Rangarajan (Ahmedabad University) and Vikram Rentala (IIT Bombay) DATE & TIME: 13 March 2023 to 24 March 2023 VENUE: Ramanujan
From playlist LESS TRAVELLED PATH TO THE DARK UNIVERSE
DEFCON 18: Facial Recognition: Facts Fiction and Fcsk Ups 1/4
Speaker: Joshua Marpet Facial Recognition sucks. But it's getting better. Big brother is watching, and he is interested in what you do, where you go, and who you talk to. Whether it's Deep Packet Inspection, or Facial Recognition, the idea of personalization as applied to privacy invasi
From playlist DEFCON 18-2
Lecture 5.2: Andrei Barbu - From Language to Vision and Back Again
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Andrei Barbu Using higher level knowledge to improve object detection, language-vision model that simultaneously processes sentences and recognizes i
From playlist MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015
What Is Extended Object Tracking? | Autonomous Navigation, Part 5
See the other videos in this series: https://www.youtube.com/playlist?list=PLn8PRpmsu08rLRGrnF-S6TyGrmcA2X7kg In many practical scenarios, there are other objects that may need to be observed and tracked in order to effectively navigate within an environment. This video will show extended
From playlist Autonomous Navigation
David Held: "Self-supervised learning for autonomous driving"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop I: Individual Vehicle Autonomy: Perception and Control "Self-supervised learning for autonomous driving" David Held - Carnegie Mellon University Abstract: One of the biggest obstacles to full autonomous drivi
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Demonstrating the phenomenon of beats on the oscilloscope (normal speed)
The main point of this demonstration is to hear the beats. It may be desirable, however, for the students to also have a visual display of what is happening to cause the beats. This is the purpose of the oscilloscope.
From playlist Beats
Stanford Seminar - AI Systems and Visual Intelligence at the Network Edge, Gary Brown of Intel Corp
Gary Brown, Intel Corp The theme for Autumn 2018 Topics in Technology Management seminar series is "New Approaches to Energy and Environment Challenges: Recent Developments in Asia." This series features distinguished speakers from industry and government who are involved with new initiat
From playlist EE402A - Topics in International Technology Management Seminar Series