Motion detection and tracking based on level set algorithm

Bo Ma, Zheru Chi, Tianwen Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

A novel energy-minimizing model is proposed in this paper for motion detection and object tracking. In our model, the logarithmic image is employed to compensate for illumination change. Another feature of our approach is that the boundary force is no longer necessary. For solving the corresponding curve evolution equation efficiently, a local level set algorithm is adopted. When constructing the narrow band and resetting the level set function to the signed distance function, it is not needed to explicitly label the contour points during the evolution of contours. The local level set algorithm is based on Partial Differential Equations (PDEs), which leads to a simple, flexible and stable scheme. This paper also proposes an appropriate stopping criterion for the level set algorithm without a need of explicitly extracting the locations of the evolving curve.
Original languageEnglish
Title of host publication2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Pages659-664
Number of pages6
Volume1
Publication statusPublished - 1 Dec 2004
Event8th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Kunming, China
Duration: 6 Dec 20049 Dec 2004

Conference

Conference8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
CountryChina
CityKunming
Period6/12/049/12/04

ASJC Scopus subject areas

  • Engineering(all)

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