Sökning: "GM-PHD"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet GM-PHD.

  1. 1. Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Jakob Jerrelind; [2020]
    Nyckelord :Multiple target tracking; random finite sets; probability hypothesis density; PHD; cardinalized; CPHD;

    Sammanfattning : Multi-target tracking (MTT) methods estimate the trajectory of targets from noisy measurement; therefore, they can be used to handle the pedestrian-vehicle interaction for a moving vehicle. MTT has an important part in assisting the Automated Driving System and the Advanced Driving Assistance System to avoid pedestrian-vehicle collisions. LÄS MER

  3. 2. Anomaly detection in videosurveillance feeds

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Jonas Nordlöf; [2015]
    Nyckelord :;

    Sammanfattning : Traditional passive surveillance is proving ineffective as the number of available cameras for an operator often exceeds the operators ability to monitor them. Furthermore, monitoring surveillance cameras requires a focus that operators can only uphold for a short amount of time. LÄS MER

  4. 3. Tracking Groups of People in Video Surveillance

    Master-uppsats, Reglerteknik; Tekniska högskolan

    Författare :Viktor Edman; [2013]
    Nyckelord :GMPHD filter; group tracking; video; mean shift clustering; PHD;

    Sammanfattning : In this master thesis, the problem of tracking groups using an image sequence dataset is examined. Target tracking can be defined as the problem of estimating a target's state given prior knowledge about its motion and some sensor measurements related to the target's state. A popular method for target tracking is e.g. LÄS MER

  5. 4. The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System

    Master-uppsats, Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Författare :Soheil Ghadami; [2011]
    Nyckelord :Gaussian Mixture probability Hypothesis Density Filter; Human Motion Tracking; Data Association; Occlusion Handling; Stereo Vision;

    Sammanfattning : In this thesis, the performance of the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter using a pair of stereo vision system to overcome label discontinuity and robust tracking in an Intelligent Vision Agent System (IVAS) is evaluated. This filter is widely used in multiple-target tracking applications such as surveillance, human tracking, radar, and etc. LÄS MER

  7. 5. Human Motion Tracking The Gaussian Mixture Probability Hypothesis Density Filter Approach

    Master-uppsats, Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Författare :Emmanuel- Adebomi OYEKANLU; Samuel-Olusayo ONIDARE; [2010]
    Nyckelord :Probability Hypothesis Density filter; GM-PHD; IVAS; Performance Evaluation; Tracking;

    Sammanfattning : Motion tracking is an important part of the Intelligent Vision Agent System, IVAS. In this thesis, the Gaussian mixture approximation of the Probability Hypothesis Density filter (GM-PHD) was implemented to provide a reliable and computationally efficient multiple human tracker in the activity space of the IVAS. LÄS MER