Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation

Details Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation

2011-09-05

arxiv.org/abs/1109.0882v1

Computer Science

Computer Vision and Pattern Recognition

31 pages

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-449986