A unified model sharing framework for moving object detection

Yingying Chen, Jinqiao Wang, Min Xu, Xiangjian He, Hanqing Lu

Research output: Journal PublicationArticlepeer-review

11 Citations (Scopus)


Millions of surveillance cameras have been installed in public areas, producing vast amounts of video data every day. It is an urgent need to develop intelligent techniques to automatically detect and segment moving objects which have wide applications. Various approaches have been developed for moving object detection based on background modeling in the literature. Most of them focus on temporal information but partly or totally ignore spatial information, bringing about sensitivity to noise and background motion. In this paper, we propose a unified model sharing framework for moving object detection. To begin with, to exploit the spatial-temporal correlation across different pixels, we establish a many-to-one correspondence by model sharing between pixels, and a pixel is labeled into foreground or background by searching an optimal matched model in the neighborhood. Then a random sampling strategy is introduced for online update of the shared models. In this way, we can reduce the total number of models dramatically and match a proper model for each pixel accurately. Furthermore, existing approaches can be naturally embedded into the proposed sharing framework. Two popular approaches, statistical model and sample consensus model, are used to verify the effectiveness. Experiments and comparisons on ChangeDetection benchmark 2014 demonstrate the superiority of the model sharing solution.

Original languageEnglish
Pages (from-to)72-80
Number of pages9
JournalSignal Processing
Publication statusPublished - 1 Jul 2016
Externally publishedYes


  • Background subtraction
  • Moving object detection
  • Shared model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


Dive into the research topics of 'A unified model sharing framework for moving object detection'. Together they form a unique fingerprint.

Cite this