Results 271 to 280 of about 1,160,563 (325)

A UAV-enabled Dynamic Multi-Target Tracking and Sensing Framework

Global Communications Conference, 2020
In 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, Georgios Fragkos, Kendric R. Ortiz, Meeko Oishi, E. Tsiropoulou   +4 more
semanticscholar   +1 more source

Single camera multiplexing for multi-target tracking

Proceedings 10th International Conference on Image Analysis and Processing, 2000
This paper considers the problem of designing a real-time surveillance system, equipped with a single camera on a pan/tilt platform, to track multiple moving targets within the camera's field of regard. The objective is to maintain motion trajectory information of as many of these targets as possible, and for as long as possible. Because the camera can
Chiraz Benabdelkader, Philippe Burlina, Larry Davis   +2 more
openaire   +1 more source

Power and Bandwidth Allocation for Multi-Target Tracking in Collocated MIMO Radar

IEEE Transactions on Vehicular Technology, 2020
A 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

Multi-Target Tracking in Video

2014
Abstract 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
openaire   +2 more sources

Collision-Free Distributed Multi-Target Tracking Using Teams of Mobile Robots with Localization Uncertainty

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

Privacy Preserving Multi-target Tracking

2015
Automated 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, Stefan Roth, Konrad Schindler, Mineichi Kudo   +3 more
openaire   +1 more source

Scaled accuracy based power allocation for multi-target tracking with colocated MIMO radars

Signal Processing, 2019
A colocated MIMO radar system can offer enhanced multi-target tracking (MTT) performance due to its agile multibeam working mode, in which multiple transmit beams are synthesized simultaneously using probing signals from individual colocated transmitters.
Ye Yuan, Wei Yi, T. Kirubarajan, L. Kong
semanticscholar   +1 more source

Multi-Target Tracking

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

Tracklet association based multi-target tracking

Multimedia Tools and Applications, 2016
This 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
openaire   +1 more source

Multi-target multi-object radar tracking

IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683), 2004
In 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
openaire   +1 more source