Sökning: "SRDCF"

Hittade 2 uppsatser innehållade ordet SRDCF.

  1. 1. Incorporating Scene Depth in Discriminative Correlation Filters for Visual Tracking

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :John Stynsberg; [2018]
    Nyckelord :Tracking; Visual; Deep; Learning; Machine; Learning; CNN; Convolutional; Neural; Network; Unsupervised; Learning; Clustering; Genetic Algorithms; Features; Visual featues; Channel; Coding; RGBD; Scene; Depth; Map; Kinect; Discriminative; Correlation; Filters; SRDCF; DCF; Spatial; Spatially; Regularized; Hyperparameter; Search; Occlusion; Detection; Handling; Kalman; Filters; Normalized; Convolution; Bayesian; Gaussian; Mixture; Scale; Estimation; Conjugate; Gradient; Linkoping; Sweden; Visuell; Följning; Särdrag; Djupa; Faltningsnätverk; Maskininlärning; Djup; Inlärning; Genetiska; Algoritmer; Klustring; Djup; RGBD; Linköping; Sverige;

    Sammanfattning : Visual tracking is a computer vision problem where the task is to follow a targetthrough a video sequence. Tracking has many important real-world applications in several fields such as autonomous vehicles and robot-vision. LÄS MER

  3. 2. Visual Tracking Using Deep Motion Features

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Susanna Gladh; [2016]
    Nyckelord :Visual tracking; tracking; optical flow; deep features; DCF; correlation filters; SRDCF; computer vision;

    Sammanfattning : Generic visual tracking is a challenging computer vision problem, where the position of a specified target is estimated through a sequence of frames. The only given information is the initial location of the target. LÄS MER