Hierarchical active shape model for real-time tracking of nonrigid objects

Jinyoung Kang; Hyunjong Ki; Junghoon Jung; Jeongho Shin; Joonki Paik

doi:10.1117/12.526619

18 May 2004 Hierarchical active shape model for real-time tracking of nonrigid objects

Jinyoung Kang, Hyunjong Ki, Junghoon Jung, Jeongho Shin, Joonki Paik

Proceedings Volume 5297, Real-Time Imaging VIII; (2004) https://doi.org/10.1117/12.526619
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Video tracking systems are inherently provided with non-rigid objects with various shapes and sizes, which often result in poor match of an initial model with the actual input shape. The hierarchical approach to the active shape model(ASM) is essential for video tracking systems to deal with such unstable inputs. The contribution of this paper is to improve the performance of active shape model-based real-time object tracking. We also propose a hierarchical processing framework to reduce the computational overhead. In this paper, we present a Kalman filter-based hierarchical ASM in order to estimate a dynamic shape in video object tracking. The experimental results show that the proposed hierarchical active shape model using Kalman filter is efficient. The experimental results also show good results when objects are partially occluded by other objects.

Citation Download Citation

Jinyoung Kang, Hyunjong Ki, Junghoon Jung, Jeongho Shin, and Joonki Paik "Hierarchical active shape model for real-time tracking of nonrigid objects", Proc. SPIE 5297, Real-Time Imaging VIII, (18 May 2004); https://doi.org/10.1117/12.526619

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