Results 11 to 20 of about 3,861,419 (280)
Orthogonal Single-Target Tracking
IEEE Access, 2022 In this study, we propose a novel Wasserstein distributional tracking method that can balance approximation with accuracy in terms of Monte Carlo estimation.
Youjin Kim, Junseok Kwon
doaj +3 more sources
Computer vision based obstacle detection and target tracking for autonomous vehicles [PDF]
MATEC Web of Conferences, 2021 Obstacle detection and target tracking are two major issues for intelligent autonomous vehicles. This paper proposes a new scheme to achieve target tracking and real-time obstacle detection of obstacles based on computer vision.
Fang Ruoyu, Cai Cheng
doaj +1 more source
Optimal circular flight of multiple UAVs for target tracking in urban areas [PDF]
, 2009 This work is an extension of our previous result in which a novel single-target tracking algorithm for fixed-wing UAVs (Unmanned Air Vehicles) was proposed.
Kim, J., Kim, Y.
core +8 more sources
Tracking interacting targets in multi-modal sensors [PDF]
, 2009 PhDObject tracking is one of the fundamental tasks in various applications such as surveillance, sports, video conferencing and activity recognition. Factors such as occlusions, illumination changes and limited field of observance of the sensor make ...
Taj, Murtaza
core +4 more sources
Transformer-Based Maneuvering Target Tracking
Sensors, 2022 When tracking maneuvering targets, recurrent neural networks (RNNs), especially long short-term memory (LSTM) networks, are widely applied to sequentially capture the motion states of targets from observations. However, LSTMs can only extract features of
Guanghui Zhao +4 more
doaj +1 more source
Multiple Objective D-Optimal Sensor Management for Group Target Tracking [PDF]
, 2006 A group target is moving in an area well covered by a network of passive sensor nods with known positions. Additionally, there are a number of mobile robots with active sensors.
Dolia, A. +5 more
core +4 more sources
Tracking of interacting targets [PDF]
2017 20th International Conference on Information Fusion (Fusion), 2017 In this paper we present a method for the tracking of interacting targets disregarding whether or not the targets are close to each other. The method relies on parametric modeling of assumptions about targets interactive motion. Our filtering solution incorporates the parameters of the model in the state vector to perform on-line parameter estimation ...
Leon, C.M. +2 more
openaire +2 more sources
Sequential Monte Carlo algorithms for joint target tracking and classification using kinematic radar information [PDF]
, 2004 This paper considers the problem of joint maneuvering target tracking and classification. Based on recently proposed Monte Carlo techniques, a multiple model (MM) particle filter and a mixture Kalman filter (MKF) are designed for two-class identification
Angelova, Donka, Mihaylova, L.
core +4 more sources
Signal Processing, 2023 This paper addresses the problem of real-time detection and tracking of a non-cooperative target in the challenging scenario with almost no a-priori information about target birth, death, dynamics and detection probability. Furthermore, there are false and missing data at an unknown yet low rate in the measurements.
Tiancheng Li 0002, Yan Song, Hongqi Fan
openaire +2 more sources
Science, Technology, & Human Values, 2017 This introduction to the special issue of the same title sets out the context for a critical examination of contemporary developments in sociotechnical systems deployed in the name of security. Our focus is on technologies of tracking, with their claims to enable the identification of those who comprise legitimate targets for the use of violent force ...
Lucy Suchman +2 more
openaire +1 more source