Sökning: "Multiple target tracking"

Visar resultat 1 - 5 av 30 avhandlingar innehållade orden Multiple target tracking.

  1. 1. Multiple Model Filtering and Data Association with Application to Ground Target Tracking

    Författare :Daniel Svensson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multiple model filtering; semi-Markov processes; multi-target tracking; FISST; state estimation; IMM; performance evaluation; OSPA; PHD; ground target tracking; Kalman filtering; target tracking; CPHD; MHT; random finite sets;

    Sammanfattning : This thesis is concerned with two central parts of a tracking system, namely multiple-model filtering and data association. Multiple models are introduced to provide accurate filtering, whereas data association deals with the unknown origin of the received measurements. LÄS MER

  2. 2. Target Tracking in Complex Scenarios

    Författare :Daniel Svensson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ran- dom finite sets; multiple-model filtering; radar.; state estimation; Target tracking; performance evaluation; sensor models;

    Sammanfattning : This thesis is concerned with three important components in target track- ing, namely multiple-model filtering, data association and sensor resolution modeling. For multiple-model filtering, the preferred method has long been the Interacting Multiple Model (IMM) filter, which relies on the assumption that immediate model shifts have the highest probability. LÄS MER

  3. 3. Segmentation and tracking of cells and particles in time-lapse microscopy

    Författare :Klas E. G. Magnusson; Joakim Jaldén; Dirk Padfield; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cell tracking; Particle tracking; Multiple target tracking; Image segmentation; Image processing; Computer vision; Open source software; Time-lapse microscopy; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : In biology, many different kinds of microscopy are used to study cells. There are many different kinds of transmission microscopy, where light is passed through the cells, that can be used without staining or other treatments that can harm the cells. LÄS MER

  4. 4. Channel Prediction and Target Tracking for Multi-Agent Systems

    Författare :Markus Fröhle; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gaussian processes; multitarget tracking; channel prediction; extended target tracking; Multi-agent system; posterior fusion; location uncertainty;

    Sammanfattning : Mobile moving agents as part of a multi-agent system (MAS) utilize the wireless communication channel to disseminate information and to coordinate between each other. This channel is error-prone and the transmission quality depends on the environment as well as on the configuration of the transmitter and the receiver. LÄS MER

  5. 5. Visual Object Tracking and Classification Using Multiple Sensor Measurements

    Författare :Yixiao Yun; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; sensor fusion; Riemannian manifold; visual pattern classification; multiple view geometry; Visual object tracking; boosting; multiple sensor measurement;

    Sammanfattning : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. LÄS MER