• Occlusion Handling in Single Target Tracking

    An occlusion handling method based on Spatio-temporal Oriented Energy (SOE) features, for improving the tracking performance in occlusion events

    published: 10 Jul 2015
  • Single Target Tracking (Bee)

    published: 16 Aug 2012
  • Single-target tracking mcRBM

    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.

    published: 02 Feb 2011
  • Single-target tracking mcRBM

    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.

    published: 02 Feb 2011
  • Single Target Tracking #3

    Tracking with single target

    published: 18 Apr 2013
  • Indoor single target tracking

    This video demonstrates single target tracking using a 24 node RF sensor network.

    published: 29 Apr 2012
  • Inside, single target tracking with NCC

    Both the NCC with Kalman filter and and the NCC with Kalman filter and template updates results

    published: 14 Dec 2015
  • Single Target Tracking in Clutter - With and Without Learning - Uniform Update Rate

    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.

    published: 24 Dec 2014
  • Stationary Target Tracking Using Double Pendulum - Single Motor

    There is just a single motor connecting the first arm to the base of the pendulum

    published: 29 Jan 2015
  • Global Data Association for Multiple Pedestrian Tracking

    Final Oral Examination of: Afshin Dehghan For the Degree of: Doctor of Philosophy (Computer Science) Firstly, a new framework for multi-target tracking that uses a novel data association technique employing the Generalized Maximum Clique Problem (GMCP) formulation is presented. The majority of current methods, such as bipartite matching, incorporate a limited temporal locality of the sequence into the data association problem. On the other hand, our approach incorporates both motion and appearance in a global manner. The proposed method incorporates the whole temporal span and solves the data association problem for one object at a time. GMCP is used to solve the optimization problem of our data association. GMCP leads us to a more accurate approach to multi-object tracking; however, it...

    published: 26 Apr 2016
  • Real-time Tracking Based on Object Recognition

    This video demo illustrates the robustness and real-time performance of SIFT-based tracking system with a single USB camera. First, the recognition system finds the target of interest; then the tracking system tracks the SIFT features and locates the target in the scene. Targets missed during the tracking phase can be re-found and re-located by the recognition system.

    published: 16 Aug 2007
  • Deep Learning for Multi-Target Tracking

    published: 27 Apr 2016
  • ADVANCED RIFLE NEVER MISSES it's target. Tracking Point Rifle unveiled in Austin Texas

    TrackingPoint is an Austin, Texas-based applied technology company that created the first precision guided firearm (PGF), a long-range rifle system.[1][2] 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.[3] 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.[4][5] Barrel Reference System: A fixed reference point that ena...

    published: 26 Oct 2013
  • Tracking a Single Target

    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.

    published: 27 Aug 2009
  • auto target tracking test

    published: 19 Oct 2015
  • Averaging single for Multi-target tracking

    This video is about Averaging single for Multi-target tracking

    published: 17 May 2016
Occlusion Handling in Single Target Tracking

Occlusion Handling in Single Target Tracking

  • Order:
  • Duration: 0:08
  • Updated: 10 Jul 2015
  • views: 71
videos
An occlusion handling method based on Spatio-temporal Oriented Energy (SOE) features, for improving the tracking performance in occlusion events
https://wn.com/Occlusion_Handling_In_Single_Target_Tracking
Single Target Tracking (Bee)

Single Target Tracking (Bee)

  • Order:
  • Duration: 0:15
  • Updated: 16 Aug 2012
  • views: 843
videos
https://wn.com/Single_Target_Tracking_(Bee)
Single-target tracking mcRBM

Single-target tracking mcRBM

  • Order:
  • Duration: 1:26
  • Updated: 02 Feb 2011
  • views: 481
videos
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.
https://wn.com/Single_Target_Tracking_Mcrbm
Single-target tracking mcRBM

Single-target tracking mcRBM

  • Order:
  • Duration: 0:58
  • Updated: 02 Feb 2011
  • views: 197
videos
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.
https://wn.com/Single_Target_Tracking_Mcrbm
Single Target Tracking #3

Single Target Tracking #3

  • Order:
  • Duration: 0:09
  • Updated: 18 Apr 2013
  • views: 15
videos
Tracking with single target
https://wn.com/Single_Target_Tracking_3
Indoor single target tracking

Indoor single target tracking

  • Order:
  • Duration: 0:44
  • Updated: 29 Apr 2012
  • views: 215
videos
This video demonstrates single target tracking using a 24 node RF sensor network.
https://wn.com/Indoor_Single_Target_Tracking
Inside, single target tracking with NCC

Inside, single target tracking with NCC

  • Order:
  • Duration: 0:12
  • Updated: 14 Dec 2015
  • views: 49
videos
Both the NCC with Kalman filter and and the NCC with Kalman filter and template updates results
https://wn.com/Inside,_Single_Target_Tracking_With_Ncc
Single Target Tracking in Clutter - With and Without Learning - Uniform Update Rate

Single Target Tracking in Clutter - With and Without Learning - Uniform Update Rate

  • Order:
  • Duration: 1:07
  • Updated: 24 Dec 2014
  • views: 42
videos
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.
https://wn.com/Single_Target_Tracking_In_Clutter_With_And_Without_Learning_Uniform_Update_Rate
Stationary Target Tracking Using Double Pendulum  - Single Motor

Stationary Target Tracking Using Double Pendulum - Single Motor

  • Order:
  • Duration: 1:03
  • Updated: 29 Jan 2015
  • views: 10
videos
There is just a single motor connecting the first arm to the base of the pendulum
https://wn.com/Stationary_Target_Tracking_Using_Double_Pendulum_Single_Motor
Global Data Association for Multiple Pedestrian Tracking

Global Data Association for Multiple Pedestrian Tracking

  • Order:
  • Duration: 44:17
  • Updated: 26 Apr 2016
  • views: 1213
videos
Final Oral Examination of: Afshin Dehghan For the Degree of: Doctor of Philosophy (Computer Science) Firstly, a new framework for multi-target tracking that uses a novel data association technique employing the Generalized Maximum Clique Problem (GMCP) formulation is presented. The majority of current methods, such as bipartite matching, incorporate a limited temporal locality of the sequence into the data association problem. On the other hand, our approach incorporates both motion and appearance in a global manner. The proposed method incorporates the whole temporal span and solves the data association problem for one object at a time. GMCP is used to solve the optimization problem of our data association. GMCP leads us to a more accurate approach to multi-object tracking; however, it has some limitations. Firstly, it finds target trajectories one-by-one, missing joint optimization. Secondly, for optimization we use a greedy solver, making GMCP prone to local minima. Finally GMCP tracker is slow. In order to address these problems, we propose a new graph theoretic problem formulation called Generalized Maximum Multi Clique Problem (GMMCP). GMMCP has all the advantages of the GMCP tracker while addressing its limitations. Previous works assume simplified version of the ideal tracking scenario either in problem formulation or problem optimization. However, we propose a solution to GMMCP where no simplification is assumed in either steps. We show that, GMMCP can be solved efficiently through Binary-Integer Program while guaranteeing the optimal solution. We further propose a speed-up method which reduces the size of input graph without assuming any heuristic. Thus far we have assumed that the number of people do not exceed a few dozen. However, this is not always the case. In many scenarios such as, marathons, political rallies or religious rites, the number of people in a frame may reach few hundreds or even few thousands. Human detection methods often fail to localize objects in extremely crowded scenes. This limits the use of data association based tracking methods, including GMCP and GMMCP. Finally, we formulate online crowd tracking as a Binary Quadratic Programing, where both detection and data association problems are solved together. Our tracker brings in both target’s individual information and contextual cues into a single objective function. Due to large number of targets, state-of-the-art commercial quadratic programing solvers fail to efficiently find the solution to proposed optimization. In order to overcome the computational complexity of available solvers, we propose to use the most recent version of Modified Frank-Wolfe algorithm. The proposed tracker can track hundreds of targets efficiently and improve state-of-the-art results by significant margin.
https://wn.com/Global_Data_Association_For_Multiple_Pedestrian_Tracking
Real-time Tracking Based on Object Recognition

Real-time Tracking Based on Object Recognition

  • Order:
  • Duration: 1:03
  • Updated: 16 Aug 2007
  • views: 22269
videos
This video demo illustrates the robustness and real-time performance of SIFT-based tracking system with a single USB camera. First, the recognition system finds the target of interest; then the tracking system tracks the SIFT features and locates the target in the scene. Targets missed during the tracking phase can be re-found and re-located by the recognition system.
https://wn.com/Real_Time_Tracking_Based_On_Object_Recognition
Deep Learning for Multi-Target Tracking

Deep Learning for Multi-Target Tracking

  • Order:
  • Duration: 0:55
  • Updated: 27 Apr 2016
  • views: 381
videos
https://wn.com/Deep_Learning_For_Multi_Target_Tracking
ADVANCED RIFLE NEVER MISSES it's target. Tracking Point Rifle unveiled in Austin Texas

ADVANCED RIFLE NEVER MISSES it's target. Tracking Point Rifle unveiled in Austin Texas

  • Order:
  • Duration: 1:37
  • Updated: 26 Oct 2013
  • views: 1446608
videos
TrackingPoint is an Austin, Texas-based applied technology company that created the first precision guided firearm (PGF), a long-range rifle system.[1][2] 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.[3] 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.[4][5] Barrel Reference System: A fixed reference point that enables the networked tracking scope to make adjustments and retain zero over time. The barrel reference system is factory calibrated to a laser reference.[6] Guided Trigger: The rifle's trigger is hard-wired to the networked tracking scope. The networked tracking scope controls the trigger weight to eliminate trigger squeeze and shot timing errors.[7] Field Software Upgradeable: Software can be uploaded to the scope to add capability.[8] Heads Up Display (HUD): The HUD indicates range, wind, reticle, video storage gauge, zoom, and battery life, plus LRF icon, Wi-Fi on/off icon, compass icon, cant wheel, inclination wheels and off-screen indicators.[4][9] Recording: An integrated camera captures video and still images from the networked tracking scope and heads up display. Recorded images can be downloaded to a smartphone or tablet from the scope and transmitted via email or social media.[10] A rifle is a firearm designed to be fired from the shoulder, with a barrel that has a helical groove or pattern of grooves ("rifling") cut into the barrel walls. The raised areas of the rifling are called "lands," which make contact with the projectile (for small arms usage, called a bullet), imparting spin around an axis corresponding to the orientation of the weapon. When the projectile leaves the barrel, this spin lends gyroscopic stability to the projectile and prevents tumbling, in the same way that a properly thrown American football or rugby ball behaves. This allows the use of aerodynamically-efficient pointed bullets (as opposed to the spherical balls used in muskets) and thus improves range and accuracy. The word "rifle" originally referred to the grooving, and a rifle was called a "rifled gun." Rifles are used in warfare, hunting and shooting sports. Typically, a bullet is propelled by the contained deflagration of an explosive compound (originally black powder, later cordite, and now nitrocellulose), although other means such as compressed air are used in air rifles, which are popular for vermin control, hunting small game, formal target shooting and casual shooting ("plinking"). In most armed forces the term "gun" is incorrect when referring to small arms; in military parlance, the word "gun" refers to an artillery piece or crew-served machine gun. Furthermore, in many works of fiction a rifle refers to any weapon that has a stock and is shouldered before firing, even if the weapon is not rifled or does not fire solid projectiles (e.g. a "laser rifle"). A gun is a normally tubular weapon or other device designed to discharge projectiles or other material.[1] The projectile may be solid, liquid, gas or energy and may be free, as with bullets and artillery shells, or captive as with Taser probes and whaling harpoons. The means of projection varies according to design but is usually effected by the action of gas pressure, either produced through the rapid combustion of a propellant or compressed and stored by mechanical means, operating on the projectile inside an open-ended tube in the fashion of a piston. The confined gas accelerates the movable projectile down the length of the tube imparting sufficient velocity to sustain the projectile's travel once the action of the gas ceases at the end of the tube or muzzle. Alternatively, acceleration via electromagnetic field generation may be employed in which case the tube may be dispensed with and a guide rail substituted. The first devices identified as guns appeared in China around 1000AD, and by the 12th century the technology was spreading through the rest of Asia, and into Europe by the 13th century.[2] Texas is the second most populous, after California, and the second-largest of the 50 states, after Alaska in the United States of America, and the largest state in the 48 contiguous United States. Geographically located in the South Central part of the country, Texas shares an international border with the Mexican states of Chihuahua, Coahuila, Nuevo León, and Tamaulipas to the south and borders the U.S. states of New Mexico to the west, Oklahoma to the north, Arkansas to the northeast, and Louisiana to the east. Texas has an area of 268,820 square miles (696,200 km2) and
https://wn.com/Advanced_Rifle_Never_Misses_It's_Target._Tracking_Point_Rifle_Unveiled_In_Austin_Texas
Tracking a Single Target

Tracking a Single Target

  • Order:
  • Duration: 0:31
  • Updated: 27 Aug 2009
  • views: 242
videos
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.
https://wn.com/Tracking_A_Single_Target
auto target tracking test

auto target tracking test

  • Order:
  • Duration: 2:43
  • Updated: 19 Oct 2015
  • views: 722
videos
https://wn.com/Auto_Target_Tracking_Test
Averaging single for Multi-target tracking

Averaging single for Multi-target tracking

  • Order:
  • Duration: 2:52
  • Updated: 17 May 2016
  • views: 10
videos
This video is about Averaging single for Multi-target tracking
https://wn.com/Averaging_Single_For_Multi_Target_Tracking
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