2014
DOI: 10.1109/tpami.2013.103
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Abstract: Many recent advances in multiple target tracking aim at finding a (nearly) optimal set of trajectories within a temporal window. To handle the large space of possible trajectory hypotheses, it is typically reduced to a finite set by some form of data-driven or regular discretization. In this work, we propose an alternative formulation of multitarget tracking as minimization of a continuous energy. Contrary to recent approaches, we focus on designing an energy that corresponds to a more complete representation … Show more

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Cited by 521 publications
(344 citation statements)
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“…We evaluate all three methods on eleven challenging, publicly available video sequences with ground truth (Milan et al, 2014) (TUD-Stadtmitte (Andriluka et al, 2010), TUD-Campus and TUD-Crossing (Andriluka et al, 2008), S1L1 (1 and 2), S1L2 (1 and 2), S2L1, S2L2, S2L3 and S3L1). The first three sequences are recorded in real-world busy streets, the complexity in terms of crowd or occlusions is medium or low (less than 10 pedestrians are present simultaneously).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We evaluate all three methods on eleven challenging, publicly available video sequences with ground truth (Milan et al, 2014) (TUD-Stadtmitte (Andriluka et al, 2010), TUD-Campus and TUD-Crossing (Andriluka et al, 2008), S1L1 (1 and 2), S1L2 (1 and 2), S2L1, S2L2, S2L3 and S3L1). The first three sequences are recorded in real-world busy streets, the complexity in terms of crowd or occlusions is medium or low (less than 10 pedestrians are present simultaneously).…”
Section: Resultsmentioning
confidence: 99%
“…The use of person density estimation to improve person localization and tracking performance in crowded scenes is proposed in (Rodriguez et al, 2011). In (Milan et al, 2014) a continuous energy minimization framework for multi-target tracking, which includes explicit occlusion reasoning and appearance modeling, is presented. Nevertheless, in the work presented in this paper, we will disregard any possible additional improvement which could be achieved by using external information to the person model.…”
Section: State Of the Artmentioning
confidence: 99%
“…The widely used CLEAR MOT metrics was employed to evaluate the proposed algorithm [7]. In order to compare the performance of the proposed algorithm with other multiple tracking algorithms, we chose two reported state-of-art trackers, such as Bae et al's proposed method [7] and OM+APP [4]. Table 3 shows the comparison results for all metrics on all three sequences individually.…”
Section: 4overall the Proposed Algorithmmentioning
confidence: 99%
“…To obtain the global optimal solution or sub-optimal solution, Park et al [1]proposed a binary integer programming formulation for a data association problem which pursues the minimum cost data associations among target measurements via one-to-one, one-to-m, and m-to-one associations. Milan et al [4] used gradient descent to find strong local minima of complex nonconvex energy that captures image evidence and various physical constraints for tracking. Leibe et al [5] proposed to perform coupled multiple-object detection and tracking by applying the minimum description length principle, formulate it as a QBP, and solve it by expectation maximization (EM) method.…”
Section: Introductionmentioning
confidence: 99%
“…These scenarios include high complexity in terms of crowds and occlusions (generally more than 10 pedestrians are present simultaneously). In particular, [55] provides the ground truth of eight sequences of the PETS dataset, namely S1L1 (1 and 2), S1L2 (1 and 2), S2L1, S2L2, S2L3 and S3L1. The annotations only include the first view of each sequence.…”
Section: Pets 2009 Datasetmentioning
confidence: 99%