Dynamic visual tracking based on multiple feature matching and g-h filter

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The area-based matching approach has been used extensively in many dynamic visual tracking systems to detect moving targets because it is computation efficient and does not require an object model. Unfortunately, area-based matching is sensitive to occlusion and illumination variation. In order to improve the robustness of visual tracking, two image cues, i.e., target template and target contour, are used in the proposed visual tracking algorithm. In particular, the target contour is represented by the active contour model that is used in combination with the fast greedy algorithm. However, to use the conventional active contour method, the initial contour needs to be provided manually. In order to facilitate the use of contour matching, a new approach that combines the adaptive background subtraction method with the border tracing technique was developed and is used to automatically generate the initial contour. In addition, a g-h filter is added to the visual loop to deal with the latency problem of visual feedback so that the performance of dynamic visual tracking can be improved. Experimental results demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)1401-1423
Number of pages23
JournalAdvanced Robotics
Volume20
Issue number12
DOIs
Publication statusPublished - 2006 Dec 1

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications

Cite this

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title = "Dynamic visual tracking based on multiple feature matching and g-h filter",
abstract = "The area-based matching approach has been used extensively in many dynamic visual tracking systems to detect moving targets because it is computation efficient and does not require an object model. Unfortunately, area-based matching is sensitive to occlusion and illumination variation. In order to improve the robustness of visual tracking, two image cues, i.e., target template and target contour, are used in the proposed visual tracking algorithm. In particular, the target contour is represented by the active contour model that is used in combination with the fast greedy algorithm. However, to use the conventional active contour method, the initial contour needs to be provided manually. In order to facilitate the use of contour matching, a new approach that combines the adaptive background subtraction method with the border tracing technique was developed and is used to automatically generate the initial contour. In addition, a g-h filter is added to the visual loop to deal with the latency problem of visual feedback so that the performance of dynamic visual tracking can be improved. Experimental results demonstrate the effectiveness of the proposed approach.",
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Dynamic visual tracking based on multiple feature matching and g-h filter. / Cheng, Ming-Yang; Tsai, Mi-Ching; Sun, Chia Yang.

In: Advanced Robotics, Vol. 20, No. 12, 01.12.2006, p. 1401-1423.

Research output: Contribution to journalArticle

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