Part-based Visual Tracking with Online Latent Structural Learning: Supplementary Material

نویسندگان

  • Rui Yao
  • Qinfeng Shi
  • Chunhua Shen
  • Yanning Zhang
  • Anton van den Hengel
چکیده

In this supplementary material, we provide more related work, more details of structured output tracking and online latent structural learning for visual tracking, and more experimental results (both qualitative and quantitative). The experimental results includes demonstration videos, more quantitative results of our tracking algorithm with and without parts in Tab. 2 and Fig. 1, more quantitative comparisons of different part initialisations in Tab. 3 and Fig. 2, visual tracking result on representative frames in Fig. 3 to Fig. 15, and more CLE and VOR plots in Fig. 16 and Fig. 17.

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تاریخ انتشار 2013