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GRASP Special Seminar – Xiaoweii Zhou, Hong Kong University of Science and Technology, “Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation”

June 25, 2012 @ 11:00 am - 12:00 pm

Abstract: Object detection is a fundamental step for automated video
analysis in many vision applications. Object detection in a video is usually
performed by object detectors or background subtraction techniques. Often, an
object detector requires manually labeled examples to train a binary
classifier, while background subtraction needs a training sequence that
contains no objects to build a background model. To automate the analysis,
object detection without a separate training phase becomes a critical task.
People have tried to tackle this task by using motion information. But existing
motion-based methods are usually limited when coping with complex scenarios
such as nonrigid motion and dynamic background. In this paper, we show that
above challenges can be addressed in a unified framework named DEtecting
Contiguous Outliers in the LOw-rank Representation (DECOLOR). This formulation
integrates object detection and background learning into a single process of
optimization, which can be solved by an alternating algorithm efficiently. We
explain the relations between DECOLOR and other sparsity-based methods.
Experiments on both simulated data and real sequences demonstrate that DECOLOR
outperforms the state-of-the-art approaches and it can work effectively on a
wide range of complex scenarios.

Presenter

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Xiaowei Zhou received the bachelor’s degree in optical
engineering from Zhejiang University, China, in 2008. He is currently a PhD candidate
in the Department of Electronic and Computer Engineering at the Hong Kong University
of Science and Technology. His research interests include computer vision and
medical image analysis. He is currently working on applying low-rank based
methods to problems in computer vision and biomedical data analysis. He was
awarded the national scholarship from Ministry of Education of China in 2007.

Details

Date:
June 25, 2012
Time:
11:00 am - 12:00 pm
Event Category: