標題: A CASCADED HIERARCHICAL FRAMEWORK FOR MOVING OBJECT DETECTION AND TRACKING
作者: Huang, Ching-Chun
Wang, Sheng-Jyh
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Background subtraction;Object labeling;Dynamic tracking system;Hierarchical framework
公開日期: 2010
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.
URI: http://hdl.handle.net/11536/26221
http://dx.doi.org/10.1109/ICIP.2010.5649539
ISBN: 978-1-4244-7994-8
ISSN: 1522-4880
DOI: 10.1109/ICIP.2010.5649539
期刊: 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING
起始頁: 4629
結束頁: 4632
Appears in Collections:Conferences Paper


Files in This Item:

  1. 000287728004166.pdf