NDLI: Pedestrian Detection Based on Active Contour Models

Content Provider	IEEE Xplore Digital Library
Author	Jin Feifei Zheng Aibo Wang Shengke
Copyright Year	2010
Abstract	In this paper, we propose an improved active contour model to detect pedestrian in video sequences. Our method can detect pedestrian whose profiles are constantly changing when they are walking. First, we improve the internal energy computation by using the squares of the distance between average distance of all adjacent points in the contour curve and the control points, and construct local energy window to search for optimal solution. It could increase the continuity of the object contour and make control points distribute evenly to avoid aggregation. Second, Greedy method is proposed to obtain minimum energy and find image contours differing from the traditional variational approach. Third, let the gradient value be part of point’s external force. The experiment results prove that the algorithm has a better performance in detecting pedestrian’s contour compared with other object detecting methods or traditional active contour models.
Starting Page	121
Ending Page	125
File Size	212073
Page Count	5
File Format	PDF
ISBN	9781424486274
DOI	10.1109/ISIP.2010.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	minimum energy Computational modeling Image edge detection Force Video sequences Active contours Convergence Active contour models external force average distance energy window internal energy Mathematical model Greedy method
Content Type	Text
Resource Type	Article

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