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On Detection, Data Association and Segmentation for Multi-Target Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019In this work, we propose a tracker that differs from most existing multi-target trackers in two major ways. First, our tracker does not rely on a pre-trained object detector to get the initial object hypotheses.
Yicong Tian, Afshin Dehghan, M. Shah
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Target Tracking Over Fading Channels
IEEE Transactions on Communications, 1976The problem of tracking a target in a multitarget environment when the observations are received over a fading channel is considered. The optimal Bayes solution to the tracking problem in such cases involves growing memory and hence is not feasible.
Chang, F. S., Srinath, M. D.
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Surveillance technologies played a key part of the US War on Terror in Afghanistan during the two decades of occupation. The US military—and its Afghan partners—employed various high-tech instruments to identify and track potential enemies. Biometric data, in particular, was employed as a weapon of choice in building what the American generals called ...
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Receive-Beam Resource Allocation for Multiple Target Tracking With Distributed MIMO Radars
IEEE Transactions on Aerospace and Electronic Systems, 2018A distributed multiple-input multiple-output (MIMO) radar system is capable of tracking multiple targets under the “defocused transmit-focused receive” (DTFR) operating mode, in which each transmitter forms a completely defocused beam to illuminate the ...
M. Xie, Wei Yi, L. Kong, T. Kirubarajan
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Single camera multi-target tracking by fuzzy target-track association
2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010In this study, implementation and results of single camera multi-target tracking system based on fuzzy logic rules for target-track association is presented. Proposed method has been tested with various video databases and successful results are obtained for complex situations.
Umur Akinci +2 more
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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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Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding, 2012We introduce a multi-target tracking algorithm that operates on prerecorded video as typically found in post-incident surveillance camera investigation. Apart from being robust to visual challenges such as occlusion and variation in camera view, our algorithm is also robust to temporal challenges, in particular unknown variation in frame rate.
Koppen, W.P., Worring, M.
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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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Conference Proceedings '88., IEEE Southeastcon, 2003
A decentralized tracking technique of a target in clutter is discussed. The coordinator must reconstruct the trajectory of a moving object based on the return histories of N geographically distributed sensors. The coordinator can only access the (local) statistics produced by local processing of the sensors' return histories, not the sensors' returns ...
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A decentralized tracking technique of a target in clutter is discussed. The coordinator must reconstruct the trajectory of a moving object based on the return histories of N geographically distributed sensors. The coordinator can only access the (local) statistics produced by local processing of the sensors' return histories, not the sensors' returns ...
openaire +1 more source