NDLI: Novel algorithm for motion prediction invariant to rotation and occlusion

Content Provider	IEEE Xplore Digital Library
Author	Starostenko, O. Tello, T. Ramirez, A. Zehe, A.
Copyright Year	2005
Description	Author affiliation: Comput. Sci. Dept., Univ. de las Americas, Puebla, Mexico (Starostenko, O.; Tello, T.)
Abstract	A novel algorithm for motion estimation and prediction of objects in dynamic scenes by processing a limited sequence of images is presented in this paper. The proposed hybrid algorithm is based on computing differences between consecutive frames of video streams for fast detection of objects in motion by processing of their time-varying edges in real time applications. For quantitative prediction of motion and computing of its characteristics, the interpolation technique has been used in combination with the motion stabilization technique useful for analysis of irregular displacement of objects. The principal goal of the proposed algorithm is the design of simple but efficient facilities for motion prediction when the possible routes may be quickly computed even with occlusions and rotation. The introduced algorithm has been tested in order to evaluate its utility and performance.
Sponsorship	Dept. of Electron. and Mechatronics Eng. of the Universidad de las Americas Puebla (UDLAP) Center for Res. in Information and Automation Technol. (CENTIA) - (UDLAP) IEEE Sect. Puebla/Mexico
Starting Page	315
Ending Page	320
File Size	126045
Page Count	6
File Format	PDF
ISBN	0769522831
DOI	10.1109/CONIEL.2005.53
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-02-28
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion analysis Image edge detection Motion estimation Layout Streaming media Object detection Motion detection Interpolation Algorithm design and analysis Testing
Content Type	Text
Resource Type	Article

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