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Open AccessArticle

Unsupervised Moving Object Segmentation from Stationary or Moving Camera Based on Multi-frame Homography Constraints

Xi’an Research Institute of High-Tech, Xi’an 710025, China
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Sensors 2019, 19(19), 4344; https://doi.org/10.3390/s19194344
Received: 8 August 2019 / Revised: 29 September 2019 / Accepted: 1 October 2019 / Published: 8 October 2019
(This article belongs to the Section Intelligent Sensors)
Moving object segmentation is the most fundamental task for many vision-based applications. In the past decade, it has been performed on the stationary camera, or moving camera, respectively. In this paper, we show that the moving object segmentation can be addressed in a unified framework for both type of cameras. The proposed method consists of two stages: (1) In the first stage, a novel multi-frame homography model is generated to describe the background motion. Then, the inliers and outliers of that model are classified as background trajectories and moving object trajectories by the designed cumulative acknowledgment strategy. (2) In the second stage, a super-pixel-based Markov Random Fields model is used to refine the spatial accuracy of initial segmentation and obtain final pixel level labeling, which has integrated trajectory classification information, a dynamic appearance model, and spatial temporal cues. The proposed method overcomes the limitations of existing object segmentation algorithms and resolves the difference between stationary and moving cameras. The algorithm is tested on several challenging open datasets. Experiments show that the proposed method presents significant performance improvement over state-of-the-art techniques quantitatively and qualitatively. View Full-Text
Keywords: moving object segmentation; motion trajectory; multi-frame homography constraint; Markov random fields model moving object segmentation; motion trajectory; multi-frame homography constraint; Markov random fields model
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Cui, Z.; Jiang, K.; Wang, T. Unsupervised Moving Object Segmentation from Stationary or Moving Camera Based on Multi-frame Homography Constraints. Sensors 2019, 19, 4344.

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