TITLE:
Research on Motion Attention Fusion Model-Based Video Target Detection and Extraction of Global Motion Scene
AUTHORS:
Long Liu, Boyang Fan, Jing Zhao
KEYWORDS:
Target Detection; Attention Model; Global Scene
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
16,
2013
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.