• Action recognition via sequence embedding 

    Gong, Wei (University of Missouri--Columbia, 2011)
    A comb structural exemplar embedding based approach is introduced for action recognition. We propose a new framework to represent an action as a weak classifier pool. During training, firstly, construct a set of static ...
  • Geometric image segmentation via transform invariant rank cuts 

    Abdulhussein, Hussein (University of Missouri--Columbia, 2012)
    This research propose a novel image segmentation algorithm, named as Transform Invariant Rank Cuts (TIRC). Based on salient 3D geometric information of natural scenes. The segmentation algorithm unities an emerging robust ...
  • Local learning algorithms with application to action recognition and video analysis 

    Lv, Xutao (University of Missouri--Columbia, 2012)
    Activity analysis has been an active research area in recent years, due to its difficulties lying in the feature descriptor, video representation and learning algorithms. Several algorithms are proposed to conquer these ...
  • Object detection with large intra-class variation 

    Chen, Guang (University of Missouri--Columbia, 2011)
    For object detection, the state-of-the-art performance is achieved through supervised learning. The performances of object detectors of this kind are mainly determined by two factors: features and underlying classification ...
  • People re-identification in a camera network 

    Shaaya, Ghadeer (University of Missouri--Columbia, 2012)
    In this research, we present an appearance based method for people re-identification. It consists in the extraction of two types of features related to human appearance, color histograms and SIFT features. Images are ...
  • Searching objects of interest in large scale data 

    Wang, Xiaoyu (University of Missouri--Columbia, 2012)
    The research on object detection/tracking and large scale visual search/recognition has recently gained substantial progress and has started to contribute to improving the quality of life worldwide: real-time face detectors ...
  • Visual recognition using hybrid camera 

    Tang, Shuai (University of Missouri--Columbia, 2011)
    Visual recognition is an exciting but difficult task. Recent dramatic advance in computer vision technology has made some promising progress. For example, the launch of hybrid camera provides both RGB and depth information ...