• Ensemble video object cut in highly dynamic scenes 

    Ren, Xiaobo (Software engineer) (University of Missouri--Columbia, 2014)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] We consider video object cut as an ensemble of framelevel background-foreground object classifiers which fuses information across frames and refine ...
  • Fast and reliable hand action recognition 

    Ou, Jingxin (University of Missouri--Columbia, 2014)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] In this work, we develop a hand action recognition method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) ...
  • Moving objects detection and labeling in surveillance videos 

    Zhu, Yizhe (University of Missouri--Columbia, 2014)
    Moving objects detection and labeling are an important component of intelligent surveillance systems. Accurate classification of moving objects allows the monitoring system to react to certain events of interest. In this ...
  • Object detection and classification using shape feature 

    Huang, Chen (Computer engineer) (University of Missouri--Columbia, 2014)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] We develop a set of methods to represent and detect shapes in images. We first develop new shape descriptors that are robust to deformation while being ...
  • Robust person tracking in indoor environments 

    Zeng, Yifeng (University of Missouri--Columbia, 2014)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.]