Title :
Application and research of pedestrian image segmentation based on the improved snake model
Author :
Xiaochuan Li ; Lei Xu ; Xintian Sun
Author_Institution :
Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
Image segmentation is the foundation of image understanding, and the results of segmentation directly affect the subsequent processing. In the recently twenty years, Image segmentation based on snake model attracts more attention of researchers. This paper proposes the improved gradient vector flow method, having the good effect on the thin and deep concave region especially. And this method is very useful for pedestrian image segmentation.
Keywords :
gradient methods; image segmentation; pedestrians; vectors; deep concave region; gradient vector flow method; image understanding; pedestrian image segmentation; snake model; thin concave region; Active contours; Computational modeling; Convergence; Educational institutions; Force; Image segmentation; Vectors; Gradient vector flow; Image segmentation; Iteration; Pedestrian image segmentation;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-6341-9
DOI :
10.1109/ICACI.2013.6748508
