Real Time Object Tracking and Segmentation Using Adaptive Color Sanke Model

Motion tracking and object segmentation are the most fundamental and critical problems in vision tasks such as motion analysis. An active contour model, snake, was developed as a useful segmenting and tracking tool for rigid or non-rigid objects. In this paper, the development of new snake model called “adaptive color snake model (ACSM)” for segmentation and tracking is introduced. The simple operation makes the algorithm runs in real-time. For robust tracking, the condensation algorithm was adopted to control the parameters of ACSM. The effectiveness of the ACSM is verified by appropriate simulations and experiments.
Publisher
Institute of Control, Robotics and Systems
Issue Date
2005-11
Keywords

Active contours; condensation algorithm; object tracking; image segmentation

Citation

International Journal of Control, Automation, and Systems, vol. 4, no. 2, pp. 236-246

URI
http://hdl.handle.net/10203/8458
Link
http://ijcas.com/admin/paper/files/IJCAS_v4_n2_pp.236-246.pdf
Appears in Collection
EE-Conference Papers(학술회의논문)
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