Automatic moving object segmentation from video sequences using alternate flashing system

Chang-Su Kim, Jae Kyun Ahn, Dae Yeon Lee, Chul Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


A novel algorithm to extract moving objects from video sequences is proposed in this paper. The proposed algorithm employs a flashing system to obtain an alternate series of lit and unlit frames from a single camera. For each unlit frame, the proposed algorithm synthesizes the corresponding lit frame using a motion-compensated interpolation scheme. Then, by comparing the unlit frame with the lit frame, we construct the sensitivity map, which provides depth cues. In addition to the sensitivity term, color, coherence, and smoothness terms are employed to define an energy function, which is minimized to yield segmentation results. Moreover, we develop a faster version of the proposed algorithm, which reduces the computational complexity significantly at the cost of slight performance degradation. Experiments on various test sequences show that the proposed algorithm provides high-quality segmentation results.

Original languageEnglish
Article number340717
JournalEurasip Journal on Advances in Signal Processing
Publication statusPublished - 2010

Bibliographical note

Funding Information:
This paper was supported partly by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (2009-0083495), and partly by Seoul R & BD Program (no. ST090818).

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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