Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Target Detection and Extraction Based on Motion Attention Model

Authors
Long Liu, Qing Liu
Corresponding Author
Long Liu
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.3How to use a DOI?
Keywords
water injection network; water injection network model; forward modeling and inversion iterative algorithm.
Abstract
In the paper, a new motion attention temporal spatial fusion model is constructed for motion object detection and extraction in view of the limitations of target detection and extraction method under global motion scene according to motion attention formation mechanism. In the algorithm, motion vector fields undergo superposition, filtering and other pretreatment firstly. Then, a motion attention fusion model is defined according to temporal - spatial change characteristics of motion vector. The model is adopted for detecting the motion object region. Finally, morphology and boundary following method are utilized for accurate extraction of the object region. The test results of many different global motion video scenes show that the algorithm has better accuracy and real - time performance than other similar algorithms.
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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
DOI
https://doi.org/10.2991/mecae-18.2018.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Long Liu
AU  - Qing Liu
PY  - 2018/03
DA  - 2018/03
TI  - Target Detection and Extraction Based on Motion Attention Model
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/mecae-18.2018.3
DO  - https://doi.org/10.2991/mecae-18.2018.3
ID  - Liu2018/03
ER  -