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Research on Motion Attention Fusion Model-Based Video Target Detection and Extraction of Global Motion Scene
The Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China.
The Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China.
The Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China.
- 1 The Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China.
- 2 The Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China.
- 3 The Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China.
Journal of Signal and Information Processing·Volume 04 (2013)·Pages 30–35·Published 1 August 2013·DOI10.4236/jsip.2013.43B006
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Abstract
For target detection algorithm under global motion scene, this paper suggests a target detection algorithm based on motion attention fusion model. Firstly, the motion vector field is pre-processed by accumulation and median filter; Then, according to the temporal and spatial character of motion vector, the attention fusion model is defined, which is used to detect moving target; Lastly, the edge of video moving target is made exactly by morphologic operation and edge tracking algorithm. The experimental results of different global motion video sequences show the proposed algorithm has a better veracity and speedup than other algorithm.
KeywordsTarget DetectionAttention ModelGlobal Scene
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