Iterative Multiple Hypothesis Tracking With Tracklet-Level Association
نویسندگان
چکیده
منابع مشابه
Topics in Multiple-Hypothesis Tracking
This manuscript discusses some recent advances in multi-target tracking. First, we describe a target kinematic motion model that has a number of appealing characteristics and that, to our knowledge, is not in use within the data fusion community. We describe recent advances in multiple-hypothesis tracking, both in the traditional setting where measurements are informative with respect to target...
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In tracking algorithms where measurements from various sensors are combined the track state representation is usually dependent on the type of sensor information that is received. When a multi-hypothesis tracking algorithm is used the probabilities of the different hypotheses containing tracks in different representations need to be re-evaluated when track state representations are changed. For...
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A broad overview of approaches to data fusion is provided in [1]. The most powerful current approach to real-time, scan-based data fusion is multi-hypothesis tracking (MHT), which was first introduced in the late 1970s [11] and made feasible in the mid-1980s with the track-oriented approach [9]. A number of enhancements to the basic approach have appeared over the years [1]. If contact measurem...
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A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation. We propose a hybrid optimization method, which consists of an iterative and a heuristic search method, for finding the location of targets simultaneously. T...
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The problem of tracking targets in clutter naturally leads to a Gaussian mixture representation of the probability density function of the target state vector. Modern tracking methods maintain the mean, covariance and probability weight corresponding to each hypothesis, yet they rely on simple merging and pruning rules to control the growth of hypotheses. This paper proposes a structured, cost-...
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ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2019
ISSN: 1051-8215,1558-2205
DOI: 10.1109/tcsvt.2018.2881123