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Multi-target tracking by continuous energy minimization
CVPR 2011, 2011We propose to formulate multi-target tracking as minimization of a continuous energy function. Other than a number of recent approaches we focus on designing an energy function that represents the problem as faithfully as possible, rather than one that is amenable to elegant optimization.
Anton Andriyenko, Konrad Schindler
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Multi-Target Tracking in Video
2014Abstract Multi-target tracking in video helps in gathering information from motion patterns to describe behaviors (e.g., sport team formations), to detect events of interest (e.g., crossing streets in forbidden locations) and to facilitate content retrieval (e.g., automatic highlights generation).
Poiesi, Fabio, Cavallaro, Andrea
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Calibrating the Gaussian multi-target tracking model
Statistics and Computing, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sinan Yildirim +3 more
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An association-based multi-target tracking method
Proceedings of the 2013 Research in Adaptive and Convergent Systems, 2013Multi-target tracking is widely studied, but it is still a difficult problem due to occlusion or split/merge of target images in reality. Solving such problems is the key in multi-target tracking. In this paper, we propose a modified particle filter method to track multiple targets, based on improved target detection and data association.
Ai Min Li, Pil Seong Park
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Track Management for Distributed Multi-target Tracking in Sensor Network
2019This paper addresses track management for multiple target tracking (MTT) with a sensor network. Track management is needed for track generation and extinction when the targets set is unknown. Based on a consensus-based fusion algorithm, we develope a MTT algorithm that includes the measurement-to-track association (M2TA) and track management. It can be
Woo-Cheol Lee, Han-Lim Choi
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2013
Multi-target tracking refers to sequential estimation of the number of targets and their states (positions, velocities, etc.) tagged by a unique label. Hence the output of a tracking algorithm are tracks, where a track represents a labeled temporal sequence of state estimates, associated with the same target.
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Multi-target tracking refers to sequential estimation of the number of targets and their states (positions, velocities, etc.) tagged by a unique label. Hence the output of a tracking algorithm are tracks, where a track represents a labeled temporal sequence of state estimates, associated with the same target.
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Co-operative Multi-target Tracking and Classification
2004This paper describes a real-time system for multi-target tracking and classification in image sequences from a single stationary camera. Several targets can be tracked simultaneously in spite of splits and merges amongst the foreground objects and presence of clutter in the segmentation results.
Kumar, P. +3 more
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A particle filter approach for multi-target tracking
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007The problem of tracking multiple objects poses a number of challenges due to the ambiguity of the observations and the presence of partial or complete occlusions. This paper introduces a novel extension to the Particle Filter algorithm for tracking multiple objects with a vision system.
Hwang Ryol Ryu, Manfred Huber
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Track Coalescence Avoidance in Multi-target Tracking
2023 4th International Conference on Advancements in Computational Sciences (ICACS), 2023Sufyan Ali Memon +2 more
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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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