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[Industry research] robotvision DL : 0: This the program for a red ball tracker robot.Here a web cam is interfaced to a computer,the computer takes images by means of the web cam and processes the images to see if there is a red ball.If a red ball is detected then the computer sends the appropriate control signals to the robot to move in the direction of the red ball.the video of the model is provided here http://www.youtube.com/watch?v=GGxDiyEr9DQ-This is the program for a red ball tracker robot.Here a web cam is interfaced to a computer,the computer takes images by means of the web cam and processes the images to see if there is a red ball.If a red ball is detected then the computer sends the appropriate control signals to the robot to move in the direction of the red ball.the video of the model is provided here http://www.youtube.com/watch?v=GGxDiyEr9DQ
Date : 2026-01-08 Size : 1kb User : Subhaiit
[Industry research] eye-moving DL : 0: 该文档主要论述了眼动仪的原理与功能，对初学者有用-The document discusses the principle and function of the eye tracker, useful for beginners
Date : 2026-01-08 Size : 5kb User : sn
[Industry research] tracker-code-20111118 DL : 0: motion tracking to detect and track moving objects through a sequence of images
Date : 2026-01-08 Size : 113kb User : jes2012
[Industry research] 06608872 DL : 0: GPS定位精度的测试和核心算法的介绍以及仿真介绍-Design and Test of a Precise Mobile GPS Tracker
Date : 2026-01-08 Size : 690kb User : niuwenhui
[Industry research] 00581581 DL : 0: This paper considers the oretical and practical implementation of the a-p tracking process under the influence of track rate variations and/or track period perturbations. These considerations are necessary when the a-p tracker is used in The Benchmark 96 Target Tracking Problem [l-21, a challenge to the tracking community to generate tracking solutions to for a set of maneuvering targets under the influence of False Alarms (FA), Mis-Detections (MD) and Electronic Counter-Measures (ECM) which upset the constant track measurement rate. The tracking solution must be able to handle track period perturbations. This paper contains the process to select and adjust the a-p parameters during track initiation and track perturbations due to mis- or false detections.-This paper considers the theoretical and practical implementation of the a-p tracking process under the influence of track rate variations and/or track period perturbations. These considerations are necessary when the a-p tracker is used in The Benchmark 96 Target Tracking Problem [l-21, a challenge to the tracking community to generate tracking solutions to for a set of maneuvering targets under the influence of False Alarms (FA), Mis-Detections (MD) and Electronic Counter-Measures (ECM) which upset the constant track measurement rate. The tracking solution must be able to handle track period perturbations. This paper contains the process to select and adjust the a-p parameters during track initiation and track perturbations due to mis- or false detections.
Date : 2026-01-08 Size : 316kb User : aida
[Industry research] mb_ftracker DL : 0: Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.-Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.
Date : 2026-01-08 Size : 66kb User : assouma
[Industry research] gps-tracker-UHF-SMD DL : 0: GPS tracker. It guides some theory create GPS tracker.
Date : 2026-01-08 Size : 19kb User : Quang
[Industry research] SE07 DL : 0: A robust maximum power point tracker (MPPT) using sliding mode controller for the three-phase grid-connected photovoltaic system has been proposed
Date : 2026-01-08 Size : 791kb User : Fethi
[Industry research] A-versatile-object-tracking-algorithm-combining-P DL : 0: This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based description, and the Particle Filter, using a global description. The object model is updated by combining information a back-projection map computed the Generalised Hough Transform, providing for every pixel the degree to which it may belong to the object, and the Particle Filter, providing a probability density on the global object position. The proposed tracker makes the most of the two algorithms, in terms of robustness to appearance variation like scaling, rotation, non-rigid deformation or illumination changes.-This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based description, and the Particle Filter, using a global description. The object model is updated by combining information a back-projection map computed the Generalised Hough Transform, providing for every pixel the degree to which it may belong to the object, and the Particle Filter, providing a probability density on the global object position. The proposed tracker makes the most of the two algorithms, in terms of robustness to appearance variation like scaling, rotation, non-rigid deformation or illumination changes.
Date : 2026-01-08 Size : 2.04mb User : SALEH