Moving Object Detection Method Via Superpixels Based on Spatiotemporal Multi-cues Fusion

SONG Tao; LI Ou; LIU Guangyi

doi:10.11999/JEIT150950

Volume 38 Issue 6

Jun. 2016

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SONG Tao, LI Ou, LIU Guangyi. Moving Object Detection Method Via Superpixels Based on Spatiotemporal Multi-cues Fusion[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1503-1511. doi: 10.11999/JEIT150950

Citation:

SONG Tao, LI Ou, LIU Guangyi. Moving Object Detection Method Via Superpixels Based on Spatiotemporal Multi-cues Fusion[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1503-1511. doi: 10.11999/JEIT150950

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Moving Object Detection Method Via Superpixels Based on Spatiotemporal Multi-cues Fusion

doi: 10.11999/JEIT150950

Funds:

National Science and Technology Major Projects of China (2014ZX03006003)

Received Date: 2015-08-19
Rev Recd Date: 2015-12-13
Publish Date: 2016-06-19

Abstract

Abstract

Moving object detection is a challenging issue in computer vision. In this paper, a new detection method via superpixels is proposed based on spatiotemporal multi-cues fusion. First, the current frame is segmented into a set of superpixels using simple linear iterative clustering and the subblocks of foreground superpixels containing motion information are captured according to the time-varying cue of inter-frame pixel-level. Then, a target model of the previous frame, which is established on the basis of the consistency principle of motion target and space clues of a target, are combined to further determine the detection window including the moving object. Finally, the problem of object detection is converted to object segmentation and an object is divided from the detection window utilizing the dense corner detection. Experimental results using several challenging public video sequences show the effectiveness and superiority of the proposed method compared with other state-of-the-art detection approaches.
- Moving object detection,
- Superpixel segmentation,
- Spatiotemporal multi-cues,
- Foreground target model,
- Object segmentation

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References(24)

References

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