نتایج جستجو برای: Detect
تعداد نتایج: 181252 فیلتر نتایج به سال:
The localization accuracy of a track-before-detect search for a target moving across a distributed sensor field is examined in this paper. The localization accuracy of the search is defined in terms of the area of intersection of the spatial-temporal sensor coverage regions, as seen from the perspective of the target. The expected value and variance of this area are derived for sensors distribu...
1 Surface Radar, Thales Nederland B.V. Haaksbergerstraat 49, 7554 PA Hengelo, The Netherlands 2NURC, NATO Research Centre, Viale S. Bartolomeo 400, 19126 La Spezia, Italy 3German Defence Establishment (FGAN-FKIE), Neuenahrer Strasse 20, 53343 Wachtberg, Germany 4Naval Undersea Warfare Center, 1176 Howell Street, Newport, RI 02841-1708, USA 5Metron Inc., 11911 Freedom Drive, Suite 800, Reston, V...
In this paper, we are concerned with the detection and tracking of a target in TBD context. We propose here an efficient particle filter based on a relevant proposal density justified by radar detection considerations. This filter performs well compared to the classical laws used in the literature, especially in terms of speed of convergence for detection. We also identify a minimum number of p...
In this article, we present a particle filter (PF)-based track-before-detect (PF TBD) procedure for detection of extended objects whose shape is modeled by an ellipse. By incorporating of an existence variable and the target shape parameters into the state vector, the proposed algorithm performs joint estimation of the target presence/ absence, trajectory and shape parameters under unknown nuis...
In the recent past, tracking applications increasingly develop towards distributed sensor scenarios. In many cases, such schemes must cope with low observable targets in cluttered environments. Furthermore, such a setup suffers from communication delays and timely delayed sensor data. However, Track-before-Detect methodologies are not suitable for processing time delayed data yet. In this paper...
This letter deals with the problem of fluctuating target detection in heavy-tailed -distributed clutter over a number of independent coherent intervals, e.g., in the case of a long observation interval (“stare mode”), or that of independent (range) resolution cells as per the track before detect techniques. The generalized likelihood ratio test for the problem at hand is derived, as well as an ...
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
In radar systems, tracking targets in low signal-to-noise ratio (SNR) environments is a very important task. There are some algorithms designed for multitarget tracking. Their performances, however, are not satisfactory in low SNR environments. Track-before-detect (TBD) algorithms have been developed as a class of improved methods for tracking in low SNR environments. However, multitarget TBD i...
This paper addresses the problem of tracking a dim moving point target in a sequence of IR images. The proposed tracking system, based on the track-before-detect (TBD) approach, is designed to track and detect dim maneuvering targets from an image sequence under low SNR conditions; a dynamic programming algorithm (DPA) is used to process the frames in the sequence. This paper deals with the pra...
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