Results 361 to 370 of about 7,438,644 (406)
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IEEE International Conference on Image Processing 2005, 2005
In this paper, the problem of continuous tracking of moving objects with a PTZ camera is addressed. In particular, the problem of tracking moving objects during zoom phases is solved by using a feature clustering technique. In order to adopt such a method, we need, first, a step where during tracking with a pan&tilt camera we can identify the mobile ...
MICHELONI, Christian, FORESTI, Gian Luca
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In this paper, the problem of continuous tracking of moving objects with a PTZ camera is addressed. In particular, the problem of tracking moving objects during zoom phases is solved by using a feature clustering technique. In order to adopt such a method, we need, first, a step where during tracking with a pan&tilt camera we can identify the mobile ...
MICHELONI, Christian, FORESTI, Gian Luca
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2019
Up to this point, we have presented methods for detection of target properties, specifically, range, velocity, and DOA. Although this information representing instantaneous target state could be the main objective of radar processing, in automotive radar processing, tracking moving targets is of paramount importance.
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Up to this point, we have presented methods for detection of target properties, specifically, range, velocity, and DOA. Although this information representing instantaneous target state could be the main objective of radar processing, in automotive radar processing, tracking moving targets is of paramount importance.
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Delayed Target Tracking for Along-Track Formations
Journal of Guidance, Control, and Dynamics, 2015The minimization of propellant consumption for maintenance of satellite formations is a key issue for efficient, cost-effective operations of such formations. An innovative and powerful solution to this problem for formations separated in along-track direction is presented using the Delayed Target Tracking method.
de Bruijn, F.J., Gill, E.
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2010
Multitarget tracking intensity filters are closely related to imaging problems, especially PET imaging. The intensity filter is obtained by three different methods. One is a Bayesian derivation involving target prediction and information updating. The second approach is a simple, compelling, and insightful intuitive argument.
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Multitarget tracking intensity filters are closely related to imaging problems, especially PET imaging. The intensity filter is obtained by three different methods. One is a Bayesian derivation involving target prediction and information updating. The second approach is a simple, compelling, and insightful intuitive argument.
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A Target-Tracking Algorithm [PDF]
, 2000 Abstract : A computationally fast algorithm for tracking targets in a sequence of scenes is described. The algorithm is based on a variation of template matching.
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2009
This chapter covers the following topics: track-while-scan; coherent pulsed tracking radar; limitations to moving target indicator (MTI) performance; range gated pulsed Doppler tracking; coordinate frames; antenna mounts and servo systems; on-axis tracking; and tracking in cartesian space.
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This chapter covers the following topics: track-while-scan; coherent pulsed tracking radar; limitations to moving target indicator (MTI) performance; range gated pulsed Doppler tracking; coordinate frames; antenna mounts and servo systems; on-axis tracking; and tracking in cartesian space.
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2018
We have proposed a tracker which is based on multiple hypothesis model and iterative closest point algorithm. The algorithm successfully tracks multiple targets by using multiple hypothesis model matching approach. Hypothesis models are formed by using track information; the models are updated periodically whenever a new track is added.
Kiran Phalke, Ravindra S. Hegadi
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We have proposed a tracker which is based on multiple hypothesis model and iterative closest point algorithm. The algorithm successfully tracks multiple targets by using multiple hypothesis model matching approach. Hypothesis models are formed by using track information; the models are updated periodically whenever a new track is added.
Kiran Phalke, Ravindra S. Hegadi
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2013
Multi-target tracking refers to sequential estimation of the number of targets and their states (positions, velocities, etc.) tagged by a unique label. Hence the output of a tracking algorithm are tracks, where a track represents a labeled temporal sequence of state estimates, associated with the same target.
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Multi-target tracking refers to sequential estimation of the number of targets and their states (positions, velocities, etc.) tagged by a unique label. Hence the output of a tracking algorithm are tracks, where a track represents a labeled temporal sequence of state estimates, associated with the same target.
openaire +2 more sources