Automatic Moving Object Segmentation from Video Sequences Using Alternate Flashing System. (10th May 2010)

• Record Type: Journal Article
• Authors: Ahn Ahn, Jae-Kyun Jae-Kyun; Lee Lee, Dae-Yeon Dae-Yeon; Lee Lee, Chul Chul; Kim Kim, Chang-Su Chang-Su
• Other Names: Cheng Cheng Hsu-Yung Hsu-Yung Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-05-10
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/340717
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : 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.