Robust tracking of soccer players based on data fusion

Presents a technique for integrating multiple visual features for tracking moving objects. Our proposed method consists of observation (pattern-matching) units and prediction units, which form a ladder structure. The major feature of our proposed method is that each of the observation units with dif...

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Bibliographic Details
Main Authors: Misu, T., Naemura, M., Wentao Zheng, Izumi, Y., Fukui, K.
Format: Conference Proceeding
Language:English
Subjects:
Broadcasting
Encoding
Image analysis
Laboratories
Layout
Multimedia systems
Production
Robustness
Target tracking
Video surveillance
Online Access:Request full text
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Description
Summary:Presents a technique for integrating multiple visual features for tracking moving objects. Our proposed method consists of observation (pattern-matching) units and prediction units, which form a ladder structure. The major feature of our proposed method is that each of the observation units with different pattern matching algorithms is executed step-by-step to innovate the state vector considering the reliability of the observation. The fusion of multiple observations makes the tracks robust to occlusion and to deformation. Experiments with soccer sequences are shown to validate the technique's robustness. Its applications to broadcasting services are also briefly discussed.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2002.1044792