Eliminating Crop Shadows in Video Sequences by Probable Learning Pixel Classification

  • Tanghai Liu
  • Xiaoping Cheng
Conference paper
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 259)

Shadows have been one of the most serious problems for vegetation segmetation, espescially under conditions of natural random airflow and human or vehicle disturbance. A video sequence processing method has developed in this paper to identify and eliminate crop shadows. The method comprises pixel models and algorithms explained in a probable learning framework. Expectation maximization (EM) for mixture models is established and an incremental EM method is proposed. This method performs a probable reasoning unsupervised classification of pixels for real-time implementation. The results show that the method is quite robust and can successfully remove shadows under natural lighting conditions.

Keywords

probable learning shadows vegetation segmentation video processing 

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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Tanghai Liu
    • 1
  • Xiaoping Cheng
    • 1
  1. 1.Faculty of Computer and Information ScienceSouthwest UniversityChina

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