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Non-overlapping multi-camera visual object tracking typically consists of two steps: single camera object tracking and inter-camera object tracking.
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J. Berclaz, F. Fleuret, E. Turetken, and P. Fua, “Multiple object tracking using k-shortest paths optimization,” pami , vol. 33, pp. 1806–1819, 2011
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2011
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A. Zamir, A. Dehghan, and M. Shah, “Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs,” in European Conference on Computer Vision (ECCV) , 2012, pp. 343–356
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A. W. M. Smeulders, D. M. Chu, R. Cucchiara, S. Calderara, A. Dehghan, and M. Shah, “Visual tracking: An experimental survey,” IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) , vol. 36, no. 7, pp. 1442–1468, 2014
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X. Chen, K. Huang, and T. Tan, “Object tracking across non-overlapping views by learning inter-camera transfer models,” Pattern Recognition , vol. 47, pp. 1126–1137, March 2014
2014
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W. Chen, L. Cao, X. Chen, and K. Huang, “A novel solution for multi-camera object tracking,” in IEEE International Conference on Image Processing (ICIP) , 2014, pp. 2329–2333
2014
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X. Chen, Z. Qin, L. An, and B. Bhanu, “An online learned elementary grouping model for multi-target tracking,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014, pp. 1242–1249
2014
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M. Yang, Y. Liu, L. Wen, Z. You, and S. Li, “A probabilistic framework for multitarget tracking with mutual occlusions,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014
2014
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H. Possegger, T. Mauthner, P. M. Roth, and H. Bischof, “Occlusion geodesics for online multi-object tracking,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014
2014
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S. Bae and K. Yoon, “Robust online multi-object tracking based on tracklet confidence and online discriminative appearance learning,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014
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B. Wang, G. Wang, K. Chan, and L. Wang, “Tracklet association with online target-specific metric learning,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014, pp. 1234–1241
2014
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L. Wen, W. Li, J. Yan, Z. Lei, and S. Yi, D. amd Li, “Multiple target tracking based on undirected hierarchical relation hypergraph,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014, pp. 1282–1289
2014
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X. Wang, E. T¨¹retken, F. Fleuret, and P. Fua, “Tracking interacting objects optimally using integer programming,” in European Conference on Computer Vision (ECCV) , 2014, pp. 17–32
2014
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Y. Cai and G. Medioni, “Exploring context information for inter-camera multiple target tracking,” in IEEE Winter Conference on Applications of Computer Vision , 2014, pp. 761–768
2014
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A. Das, A. Chakraborty, and A. Roy-Chowdhury, “Consistent re-identification in a camera network,” in European Conference on Computer Vision (ECCV) , 2014, pp. 330–345
2014
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R. Zhao, W. Ouyang, and X. Wang, “Learning mid-level filters for person re-identification,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014, pp. 144–151
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K. Raftopoulos and M. Ferecatu, “Noising versus smoothing for vertex identification in unknown shapes,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014, pp. 4162–4168
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W. Li, R. Zhao, T. Xiao, and X. Wang, “Deepreid: Deep filter pairing neural network for person re-identification,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2014, pp. 152–159
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B. Yang and R. Nevatia, “An online learned crf model for multi-target tracking,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2012, pp. 2034–2041
2041
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