Tracking

Object Tracking

Details

Object tracking is to associate target objects in consecutive video frames. Its real-world applications range from video surveillance, autonomous vehicles, intelligent traffic control, human computer interaction, etc. However, visual tracking is challenging due to significant object appearance variations caused by illumination change, occlusion, sensory noise, fast/abrupt object motion, and also cluttered background. A "good" tracker should be designed with these issues in mind, so it can be applicable in real-world scenarios.​
 

Selected Publications



 
 

 Structural Sparse Tracking




 
 

 Robust Visual Tracking Via Consistent Low-Rank Sparse Learning




 Robust Visual Tracking via Multi-Task Sparse Learning​

[pdf] [bibtex] [oral]



 

Publications

  1.  Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, and Ming-Hsuan Yang, “Structural Sparse Tracking”, Conference on Computer Vision and Pattern Recognition
  2. Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja, "Robust Visual Tracking via Exclusive Context Modeling", IEEE Transactions on Cybernetics 2015
  3. Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem, "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", International Journal of Computer Vision (IJCV 2014)
  4. Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja, "Robust Visual Tracking via Structured Multi-Task Sparse Learning", International Journal of Computer Vision (IJCV 2013)
  5. Tianzhu Zhang, Bernard Ghanem, Changsheng Xu, Narendra Ahuja, "Object Tracking by Occlusion Detection via Structured Sparse Learning", IEEE International Workshop on Computer Vision in Sports (CVsports), 2013
  6. Tianzhu Zhang, Bernard Ghanem, and Narendra Ahuja, "Low-Rank Sparse Learning for Robust Visual Tracking", European Conference on Computer Vision (ECCV2012)
  7. Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja, "Robust Visual Tracking via Multi-Task Sparse Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR2012) 
  8. Tianzhu Zhang, Bernard Ghanem, and Narendra Ahuja, "Robust Multi-Object Tracking Via Cross-Domain Contextual Information For Sports Video Analysis", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)