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Learning to Track Multiple Targets
IEEE Transactions on Neural Networks and Learning Systems, 2015Monocular multiple-object tracking is a fundamental yet under-addressed computer vision problem. In this paper, we propose a novel learning framework for tracking multiple objects by detection. First, instead of heuristically defining a tracking algorithm, we learn that a discriminative structure prediction model from labeled video data captures the ...
Xiao, Liu +5 more
openaire +2 more sources
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.
openaire +1 more source
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.
openaire +1 more source
2018
We have proposed a tracker which is based on multiple hypothesis model and iterative closest point algorithm. The algorithm successfully tracks multiple targets by using multiple hypothesis model matching approach. Hypothesis models are formed by using track information; the models are updated periodically whenever a new track is added.
Kiran Phalke, Ravindra Hegadi
openaire +1 more source
We have proposed a tracker which is based on multiple hypothesis model and iterative closest point algorithm. The algorithm successfully tracks multiple targets by using multiple hypothesis model matching approach. Hypothesis models are formed by using track information; the models are updated periodically whenever a new track is added.
Kiran Phalke, Ravindra Hegadi
openaire +1 more source
Recent developments on target tracking problems: A review
, 2021Manish Kumar, S. Mondal
semanticscholar +1 more source
Tracking TRALI in target populations
Blood, 2011A prospective, case-controlled study in cardiac surgery reveals a high incidence (2.4%) of TRALI despite the introduction of plasma from male donors, indicating a need for additional interventions in susceptible populations.
openaire +2 more sources
2004
This chapter addresses the basic issues of tracking airborne targets (aircraft, missiles, and so on) with a radar operating in a track-while-scan mode. Although multitarget tracking radars are of primary interest, the issues associated with tracking a single target will be addressed first. These issues are addressed first because most multitarget track
openaire +1 more source
This chapter addresses the basic issues of tracking airborne targets (aircraft, missiles, and so on) with a radar operating in a track-while-scan mode. Although multitarget tracking radars are of primary interest, the issues associated with tracking a single target will be addressed first. These issues are addressed first because most multitarget track
openaire +1 more source
Cancer epigenetics in clinical practice
Ca-A Cancer Journal for Clinicians, 2023Veronica Davalos, Manel Esteller
exaly
Collaborative detection and power allocation framework for target tracking in multiple radar system
Information Fusion, 2020Junkun Yan +4 more
semanticscholar +1 more source
Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
exaly