The search functionality is under construction.
The search functionality is under construction.

Robust Centroid Target Tracker Based on New Distance Features in Cluttered Image Sequences

Jae-Soo CHO, Do-Jong KIM, Dong-Jo PARK

  • Full Text Views

    0

  • Cite this

Summary :

A real-time adaptive segmentation method based on new distance features is proposed for the binary centroid tracker. These novel features are distances between the predicted center pixel of a target object by a tracking filter and each pixel in extraction of a moving target. The proposed method restricts clutters with target-like intensity from entering a tracking window and has low computational complexity for real-time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to other segmentation methods based on the intensity feature only in target detection and tracking.

Publication
IEICE TRANSACTIONS on Information Vol.E83-D No.12 pp.2142-2151
Publication Date
2000/12/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Image Processing, Image Pattern Recognition

Authors

Keyword