scholarly journals Infrared Tracking of the Near Triad

2010 ◽  
Vol 10 (7) ◽  
pp. 507-507
Author(s):  
N. Bogdan ◽  
R. Allison ◽  
R. Suryakumar
Keyword(s):  
Infrared Tracking ◽  
Near Triad

scholarly journals Multi-Task Driven Feature Models for Thermal Infrared Tracking

2020 ◽  
Vol 34 (07) ◽  
pp. 11604-11611 ◽  
Author(s):  
Qiao Liu ◽  
Xin Li ◽  
Zhenyu He ◽  
Nana Fan ◽  
Di Yuan ◽  
...  
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Thermal Infrared ◽  
Training Dataset ◽  
Feature Models ◽  
Relative Gain ◽  
Tir Domain ◽  
Fine Grained ◽  
Rgb Images ◽  
Infrared Tracking

Existing deep Thermal InfraRed (TIR) trackers usually use the feature models of RGB trackers for representation. However, these feature models learned on RGB images are neither effective in representing TIR objects nor taking fine-grained TIR information into consideration. To this end, we develop a multi-task framework to learn the TIR-specific discriminative features and fine-grained correlation features for TIR tracking. Specifically, we first use an auxiliary classification network to guide the generation of TIR-specific discriminative features for distinguishing the TIR objects belonging to different classes. Second, we design a fine-grained aware module to capture more subtle information for distinguishing the TIR objects belonging to the same class. These two kinds of features complement each other and recognize TIR objects in the levels of inter-class and intra-class respectively. These two feature models are learned using a multi-task matching framework and are jointly optimized on the TIR tracking task. In addition, we develop a large-scale TIR training dataset to train the network for adapting the model to the TIR domain. Extensive experimental results on three benchmarks show that the proposed algorithm achieves a relative gain of 10% over the baseline and performs favorably against the state-of-the-art methods. Codes and the proposed TIR dataset are available at https://github.com/QiaoLiuHit/MMNet.

Measuring the Usability of a Low-Cost 3D Infrared Tracking and Wiimote-Based Interface

2012 ◽  
pp. 90-100 ◽  
Author(s):  
Christian Jonathan C. Chan ◽  
Mark Anthony M. Morada ◽  
Maria Rowena Solamo ◽  
Rommel Feria
Keyword(s):  
Low Cost ◽  
Infrared Tracking

Space infrared tracking of a hypersonic cruise vehicle using an adaptive scaling UKF

2020 ◽  
Vol 3 (4) ◽  
pp. 287-296
Author(s):  
Jiahui Liu ◽  
Qi Luo ◽  
Jiaxin Lou ◽  
Yuankai Li
Keyword(s):  
Infrared Tracking

Fast Location of Thermal Target with Low Offset and Spatial Filter of Winner-Take-All Circuit

2010 ◽  
Vol 97-101 ◽  
pp. 4371-4374
Author(s):  
Jun Qi Wang ◽  
Shu Jung Chen ◽  
Chih Hsiung Shen
Keyword(s):  
Sensor Array ◽  
Cmos Technology ◽  
Spatial Filter ◽  
Thermal Image ◽  
Background Intensity ◽  
Low Offset ◽  
Winner Take All ◽  
Thermal Object ◽  
Infrared Tracking ◽  
Take All

A new modified infrared tracking sensor array with spatial filter is proposed, which identifies the locations and sizes of thermal object efficiently with the winner-take-all (WTA) circuit and a low offset correlated double sampling (CDS) circuit. The winner-take-all (WTA) circuit is used in combination with active readout circuit for thermopile array. In this circuit, thermal image intensity has been chosen for the input saliency map. The removal process is performed by zeroing the values of the thermal image background intensity levels, so only the potential thermal objects of interest are compared by the WTA. The offset reduction with CDS technique enhances the sensitivity of winner-take-all (WTA) circuit and shows a sharp selectivity which makes it possible to pick up only one winner pixel from each thermal object. In order to simulate and present the infrared thermal sensor array in this paper, the sensor array is integrated by using a 2P4M 0.35μm standard CMOS technology. This proposed architecture shows a high resolution with two orders higher than the circuits without CDS. The results have shown that integrated thermopile array with WTA and CDS can approach a high level of development, reliability and easy for high accuracy infrared tracking applications.

Appearance Learning for Infrared Tracking with Occlusion Handling

2011 ◽  
pp. 33-64 ◽  
Author(s):  
Guoliang Fan ◽  
Vijay Venkataraman ◽  
Xin Fan ◽  
Joseph P. Havlicek
Keyword(s):  
Occlusion Handling ◽  
Infrared Tracking

An Autonomous Docking Mechanism for Vertical Lift Unmanned Aircraft

2019 ◽  
Vol 11 (6) ◽  
Author(s):  
John Papayanopoulos ◽  
Kevin Webb ◽  
Jonathan Rogers
Keyword(s):  
Measurement Errors ◽  
Closed Loop ◽  
Mechanical Design ◽  
Tracking System ◽  
Unmanned Aircraft ◽  
Wide Range ◽  
Air Vehicle ◽  
Docking Mechanism ◽  
Infrared Tracking ◽  
Autonomous Docking

Abstract Unmanned aerial vehicles are increasingly being tasked to connect to payload objects or docking stations for the purposes of package transport or recharging. However, autonomous docking creates challenges in that the air vehicle must precisely position itself with respect to the dock, oftentimes in the presence of uncertain winds and measurement errors. This paper describes an autonomous docking mechanism comprising a static ring and actuated legs, coupled with an infrared tracking device for closed-loop docking maneuvers. The dock’s unique mechanical design enables precise passive positioning such that the air vehicle slides into a precise location and orientation in the dock from a wide range of entry conditions. This leads to successful docking in the presence of winds and sensor measurement errors. A closed-loop infrared tracking system is also described in which the vehicle tracks an infrared beacon located on the dock during the descent to landing. A detailed analysis is presented describing the interaction dynamics between the aircraft and the dock, and system parameters are optimized through the use of trade studies and Monte Carlo analysis with a three degree-of-freedom simulation model. Experimental results are presented demonstrating successful docking maneuvers of an autonomous air vehicle in both indoor and outdoor environments. These repeatable docking experiments verify the robustness and practical utility of the dock design for a variety of emerging applications.

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