Sökning: "Image and audio data fusion"

Hittade 3 avhandlingar innehållade orden Image and audio data fusion.

  1. 1. Objective Assessment of Loose Gravel Condition using Machine Learning with Audio-visual Observation

    Författare :Nausheen Saeed; Moudud Alam; Roger G. Nyberg; Niklas Lavesson; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gravel road condition assessment; Loose gravel; Sound analysis; Machine learning; Image analysis; Audio analysis; Image and audio data fusion;

    Sammanfattning : A well-maintained road network is essential for sustainable economic development, providing vital transportation routes for goods and services while connecting communities. Sweden's public road network includes a significant portion of gravel roads, particularly cost-effective for less populated areas with lower traffic volumes. LÄS MER

  3. 2. Mapping and Merging Using Sound and Vision : Automatic Calibration and Map Fusion with Statistical Deformations

    Författare :Gabrielle Flood; Matematik LTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Time of arrival; TOA; Time-difference of arrival; TDOA; Subsample methods; Uncertainty measure; Constant offset; RANSAC; Map merging; Map fusion; Change detection; Collaborative SLAM; Structure from motion; SfM; SLAM; Mapping; Localisation; Registration; Sparse maps; Point clouds;

    Sammanfattning : Over the last couple of years both cameras, audio and radio sensors have become cheaper and more common in our everyday lives. Such sensors can be used to create maps of where the sensors are positioned and the appearance of the surroundings. LÄS MER

  4. 3. Lip-motion and speech biometrics in person recognition

    Författare :Maycel Isaac Faraj; Högskolan i Halmstad; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Audio-visual recognition; biometrics; Biometric recognition; Speaker verification; Speaker authentication; Person identification; Lip movements; Motion; Structure tensor; Orientation; Optical flow; Hidden Markov Model; Gaussian Markov Model; Lip-motion; Image analysis; Bildanalys;

    Sammanfattning : Biometric identification techniques are frequently used to improve security, e.g. in financial transactions, computer networks and secure critical locations. The purpose of biometric authentication systems is to verify an individual by her biological characteristics including those generating characterisitic behaviour. LÄS MER