A cascaded hierarchical framework for moving object detection and tracking

Ching-Chun Huang*, Sheng-Jyh Wang

*Corresponding author for this work

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

In this paper we propose a cascaded hierarchical framework for object detection and tracking. We claim that, by integrating both detection and tracking into a unified framework, the detection and tracking of multiple moving objects in a complicated environment become more robust. Under the proposed architecture, detection and tracking cooperate with each other. Based on the result of moving object detection, a dynamic model is adaptively maintained for object tracking. On the other hand, the updated dynamic model is used for both temporal prior propagation of object labels and the update of foreground/background models, which step further to help the detection of moving objects. The experiments show accurate results can be obtained under situations with foreground/background appearance ambiguity, camera shaking, and object occlusion.

原文English
主出版物標題2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面4629-4632
頁數4
ISBN(列印)9781424479948
DOIs
出版狀態Published - 1 十二月 2010
事件2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
持續時間: 26 九月 201029 九月 2010

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
國家Hong Kong
城市Hong Kong
期間26/09/1029/09/10

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