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A UAV-enabled Dynamic Multi-Target Tracking and Sensing Framework
Global Communications Conference, 2020In this paper an Unmanned Aerial Vehicles (UAVs) - enabled dynamic multi-target tracking and data collection framework is presented. Initially, a holistic reputation model is introduced to evaluate the targets’ potential in offloading useful data to the ...
Nathan Patrizi +4 more
semanticscholar +1 more source
Power and Bandwidth Allocation for Multi-Target Tracking in Collocated MIMO Radar
IEEE Transactions on Vehicular Technology, 2020A collocated multiple-input and multiple-output (MIMO) radar has the ability to track multiple targets under the simultaneous multi-beam mode, where each transmit beam is defocused to search the entire surveillance space, and then; a focused beam is ...
Haowei Zhang, B. Zong, Jun-wei Xie
semanticscholar +1 more source
IEEE/RJS International Conference on Intelligent RObots and Systems, 2020
Accurately tracking dynamic targets relies on robots accounting for uncertainties in their own states to share information and maintain safety. The problem becomes even more challenging when there is an unknown and time-varying number of targets in the ...
Jun Chen, P. Dames
semanticscholar +1 more source
Accurately tracking dynamic targets relies on robots accounting for uncertainties in their own states to share information and maintain safety. The problem becomes even more challenging when there is an unknown and time-varying number of targets in the ...
Jun Chen, P. Dames
semanticscholar +1 more source
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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Privacy Preserving Multi-target Tracking
2015Automated people tracking is important for a wide range of applications. However, typical surveillance cameras are controversial in their use, mainly due to the harsh intrusion of the tracked individuals’ privacy. In this paper, we explore a privacy-preserving alternative for multi-target tracking.
Anton Milan +3 more
openaire +1 more source
Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories
Fusion, 2020This paper presents two multi-Bernoulli filters on sets of trajectories for multiple target tracking. The first filter provides a multi-Bernoulli approximation of the posterior density over the set of alive trajectories at the current time step.
Á. F. García-Fernández +4 more
semanticscholar +1 more source
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.
openaire +1 more source
Tracklet association based multi-target tracking
Multimedia Tools and Applications, 2016This paper proposes a novel multi-target tracking framework, where two different association strategies are utilized to obtain local and global tracking trajectories. Specifically, a scene self-adaptive model is first utilized to generate local trajectories by constructing the association between detection responses and tracking tracklets; then, a ...
Songhao Zhu, Zhe Shi, Chengjian Sun
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Multi-target multi-object radar tracking
IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683), 2004In this paper, we present algorithms to exploit full capabilities of an automotive adaptive cruise control radar sensor. We propose model based filtering and data association techniques, guaranteeing sufficient noise suppression without constraining filter dynamics more than necessary.
R. Mobus, A. Joos, U. Kolbe
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Fusion gain in multi-target tracking
2010 13th International Conference on Information Fusion, 2010This paper introduces an information quality metric and a definition for fusion gain in multi-target tracking systems. We validate the reasonableness of these quantities and illustrate the relationship between fusion gain, scenario difficulty, and tracker effectiveness.
S Coraluppi, M Guerriero, C Carthel
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