Learning structured visual dictionary for object tracking

Fan Yang, Huchuan Lu, Ming Hsuan Yang

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


In this paper, we propose a visual tracking algorithm by incorporating the appearance information gathered from two collaborative feature sets and exploiting its geometric structures. A structured visual dictionary (SVD) can be learned from both appearance and geometric structure, thereby enhancing its discriminative strength between the foreground object and the background. Experimental results show that the proposed tracking algorithm using SVD (SVDTrack) performs favorably against the state-of-the-art methods.

Original languageEnglish
Pages (from-to)992-999
Number of pages8
JournalImage and Vision Computing
Issue number12
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Vision and Pattern Recognition


Dive into the research topics of 'Learning structured visual dictionary for object tracking'. Together they form a unique fingerprint.

Cite this