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Space multi-target detection by second variance
Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), 2013Detecting small multi-target in aerospace is both a significant and difficult issue for the satellite tracking system. It is fundamentally challenging due to the existence of strong noise in captured images, the few characteristic of spot-like target, the simultaneous multiple targets and the real-time requirement.
null Tao Huang +5 more
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Multi-target detection algorithm for FMCW radar
2012 IEEE Radar Conference, 2012FMCW (Frequency Modulation Continuous Wave) radar has been a popular method for automotive applications. The typical FMCW radar, however, has serious problems in multi-target situations. That is, range-velocity processing gives rise to so-called ghost targets due to Doppler shift in the received beat-frequency.
null Eugin Hyun +2 more
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Multi-target detection using noise-like signals
2008 IEEE Radar Conference, 2008Both the generalization to space-time adaptive processing (STAP) and to an arbitrary number of targets, of a multiple beamforming technique and its adaptation to noise-like signals are presented in this paper. A hybridization of both the joint domain localized (JDL) and the direct data domain (D3) STAP methods is used to prove the feasibility of multi ...
Préaux, Jean-Philippe, Raout, Jacques
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A Detection-Aided Multi-target Tracking Algorithm
2010 International Conference on Machine Vision and Human-machine Interface, 2010This paper addresses the problem of tracking multiple objects in monocular video sequences. This problem is difficult because one needs to identify the targets by the finite measurement data, which may be affected by variations of pose, environment clutters, etc.
Jianguo Lu, Anni Cai, Lili Li
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Probabilistic Handling of Merged Detections in Multi Target Tracking
2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance, 2012In this contribution we present a method for handling merged detections in video-based Multi-Target-Tracking applications. Merged detections occur when two or more objects evoke one joint detection, i.e. when measurements stemming from multiple objects cannot be resolved by the sensor.
Stephan, T., Grinberg, M.
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Multi-Target Stance Detection with Multi-Task Learning
Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, 2020Stance detection plays an important role in the field of online public opinion analysis. The majority of methods of stance detection are for a single target at a once. However, in some situations, multi-target to be analyzed are interrelated, such as several different candidates in an election and different brands of the same product.
Chenguang Chen, Wen Xi, Bin Zhou
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Aerial Video Multi-target Detection with Memory Module
2020 39th Chinese Control Conference (CCC), 2020Multi-target detection for aerial video is widely applied for both military and civilian. A multi-target detection algorithm on aerial video with memory module is proposed in this paper. This method uses memory module to connect time-scale information, so that the information of past frames can be used to improve the detection result of the current ...
Haihong Chi, Xiangrui Gao
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A Token Level Multi-target Stance Detection Dataset
2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC), 2020More and more people would like to express their opinions on the social media platform, such as Twitter, Sina Weibo, or Facebook. High-performance stance detection algorithm has become a meaningful and important application. The accuracy improvement of the stance detection model significantly relies on the quality of the training dataset.
Tianpeng Ye +3 more
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Collaborative Multi-Target Detection in Radar Sensor Networks
MILCOM 2007 - IEEE Military Communications Conference, 2007In many military and civilian applications, estimating the number of targets in a region of interest plays a primary role in performing important tasks such as target localization, classification, recognition, tracking, etc. Such an estimation problem is however very challenging since the number of targets is time-varying, targets' states are ...
Hung D. Ly, Qilian Liang
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Multi-targets detection in DBS via keystone transform
Proceedings of 2011 IEEE CIE International Conference on Radar, 2011Doppler Beam Sharpening (DBS) is a technique which can improve the resolution of radar azimuth. Aimed at the problem of range walk through resolution cell in DBS imaging, a new algorithm which corrects the range walk based on keystone transform is proposed.
null Jing Tian +3 more
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