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Hough voting based methods for object detection work by means of allowing local image patches to vote for the center of the object according to the trained visual words. They are effective for object with small local varieties, but incapable of solving multi-view detection problem. The traditional way is training visual words for each subcategory that has similar view. However, limited training data...
Track breakages due to target maneuver lead to the wrong report of target number along with the bad track continuity, hence it is of high demand to develop track segment association (TSA) technique, especially in the dense target case. This paper presents the problem of ESM-aided MTI track segments stitching by the fact that it is much helpful to discern geographically-close targets by utilizing the...
In tracking closely-spaced targets, the kinematic information is inadequate to resolve the ambiguity of measure-to-track correspondence, which often leads to track coalescence or mistake association. In this paper, we propose a Fusion Tracking framework to a joint target tracking and recognition problem based on MTI and ESM. According to the time sequence of each sensor measurement, the corresponding...
A practical integrated estimating algorithm is proposed for multiple dynamic airborne radar networks without common targets to modifying the systematic bias, which extended innovatively from multiple sensors registration methods on common targets. On the frame of multi-sensor data fusion, the approach on overlapping common targets can be executed using Kalman filter and Earth-Centered Earth-Fixed...
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